Seattle

The Amazon Public Relations team is seeking a driven, detail-oriented, and savvy PR professional for the role of Public Relations Specialist, Seller Experience. The person who fills this role will be responsible for proactive PR activities and storytelling around the many tools and services Amazon offers independent sellers to help them grow their business and thrive selling in Amazon’s store. This person will work with numerous stakeholders within the Selling Partner Services business to mine for new story angles, identify data and insights to support seller-focused narratives, and drive communications programs and announcements for launches of new tools and services, with a particular focus on AI innovation and support for small businesses. This person will work closely with business partners to provide PR counsel and guidance, drive PR strategy for key business announcements, work in close collaboration with business leaders, and drive messaging and narrative development. The role will also support issues management related to seller experience narratives as needed, helping to manage media escalations while looking around corners to plan ahead for potential issues.This role can be located in Seattle, WA or the Washington, D.C. area.The successful candidate will be a self-starter who can clearly formulate and communicate PR recommendations and plans to both peers and executives, drive collaborative decisions, build relationships internally and externally, and deliver results. He/she will also be comfortable providing counsel and guidance to a wide variety of counterparts crossing a number of disciplines, and will be an expert in clearly communicating complex programs. Additionally, this role will consistently work with a range of media contacts across ecommerce trade and national business publications, and must have strong media relations chops. The ideal candidate will have strong B2B PR experience, a track record of successfully managing proactive announcements with coverage results, and media relations expertise in both pitching proactive stories on a national scale and managing issues and reactive storylines. Key job responsibilities• Lead PR strategy and programs related to the many ways we support seller success• Provide counsel to executives and cross-functional teams on PR approaches and messaging • Manage and guide proactive PR announcements, launches, and narratives • Develop and manage relationships with a range of top-tier media contacts • Write and evolve messaging and talking points in a thoughtful and strategic way • Build, guide, and execute PR plans, including communicating plans internally and securing leadership approvals • Successfully manage complex, fast-moving and unexpected communications challenges, both proactively and reactively • Proactively seek out opportunities to create news moments, and pull together strategic recommendations • Help manage a third-party agency to support PR activities • Willingness to represent Amazon as a spokespersonBASIC QUALIFICATIONS- 5+ years of recent professional communications or public relations experience- Bachelor's degree in communications, public relations, or a related field ...

Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge technologies in a team environment? Do you like working on industry-defining projects that move the needle?Sports represent the next major growth vertical for Prime Video. We're acquiring the biggest and best events (e.g. NFL, NBA) for our customers and investing in our people to reinvent the future of sports. If this sounds like the something you'd like to help build apply here and let's chat!Who we are:Our team is responsible for building the Prime Video Sports experiences on living room clients (FireTV devices and Third party devices like Samsung TV, Apple TV, etc..). We are coders and crafts people who care as much about how things look and feel as to the way they function and perform. We seek diverse perspectives and create accessible experiences for all people to enjoy. We strive to move fast for customers but prioritize long term decisions that will scale as we grow.Our team focuses on customer-facing, high-visibility, high-impact projects to improve the customer experience for sports events. As a relatively new team, there is very little oncall work, operational burden, or tech debt to deal with, so we can focus on innovation. This is an opportunity to build from the ground up. We are not saddled with any legacy tech, and can choose the best options as we build.PV Sports provides the opportunity to design and build new full stack features end-to-end. Our technology focuses on real time event based native AWS services and emerging front end platforms including TV and VR.Our team has access to multiple PEs and Sr. Engineers within Sports as well as across Prime Video to regularly engage with. They provide mentorship and support for career progression of our team members.At Prime Video, we mirror our customers. We believe in building teams and products that reflect and offer an inclusive environment for all of our customers, current and future. We celebrate diverse perspectives, and we create environments where all team members feel valued, trusted, connected, and informed. Our employees utilize inclusive benefit offerings, attend annual conferences such as CORE+ (intersectional conversations on race, gender identity, sexual orientation, etc.), and participate in over twelve different employee-led affinity groups. Our teams build inclusive culture through biweekly team-building events and by working together to define processes and schedules that value work-life balance. And finally, our company leaders work actively to honor Amazon’s public commitment to fostering diversity and being Earth’s Best Employer.What we are looking for:* Experience in Android development* Solid understanding of object-oriented design* Solid time management and communication skills* Openness to new ideas and a willingness to let the best solution rise to the top* Openness to learn and pivot to new programming language if needed* Comfort adapting to new development environments, learning new systems, and creating reliable, scalable code* Design and code the right solutions starting with broadly defined problems.What You'll Do:* Own the architecture and feature development for living room Prime Video app and services* Partner with engineers to ideate, design, and build innovative software solutions* Drive test and release automations to increase system reliability and speed to market* Collaborate closely with product managers and user experience designers to deliver maximum customer value * If this sounds like the kind of challenge you'd thrive on, we'd love to connect. Apply today and let's chat about how you can help us reinvent the sports viewing experience on Prime Video.BASIC QUALIFICATIONS- 2+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Amazon Ads helps brands create experiences that delight customers and deliver meaningful, measurable results. With 300+ million worldwide active customer accounts, and first-party insights based on shopping, streaming and browsing signals, brands can craft relevant campaigns that enhance customer experiences. Our solutions on Amazon.com and services including Prime Video, Twitch, Alexa, Amazon Music, and partnerships with third-party publishers and exchanges make Amazon Ads a priority partner to reach the right audiences in the right places, both on and off Amazon. If you are interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.As a Principal Account Executive on the Hardlines PC team you will partner with peer Account Executives and use your 10+ years of experience selling digital advertising solutions to Fortune 100 brands and their ad agencies to successfully grow the advertisers' US revenue. With your broad and long-standing client-side and agency relationships within the digital media world), consultative approach and deep understanding of the digital advertising landscape, you will act as a strategic partner to your assigned advertiser and position a broad range of advertising solutions that will ensure that their business goals are met. You will further use your relationship building, networking, and strong communication skills to identify, develop and scale new business opportunities. Partnering with internal, cross-functional teams successfully to deliver results for your advertising customers is required.This role will require travel as needed to meet with customers and partner teams. Effective January 2, 2025, the in-office expectation at Amazon is five days a week on days when you are not traveling.Key job responsibilities• Make strategic recommendations on Amazon Ads solutions, tailored to client marketing initiatives• Deliver the highest level of sales and customer service to our clients to retain and grow revenue.• Prospect, penetrate and create new relationships across the advertiser’s lines of business, including driving new deals to closure.• Utilize Sales CRM tools to track all pertinent account information and sales progress as well as forecast and prioritize to achieve quarterly quota goals.• Coordinate communication with partner account team members and operations teamsAbout the teamWe lead with customer obsession, focused on growing our clients business while growing as individuals ourselves. We thrive in a collaborative environment, working harmoniously across multiple partner teams to deliver for our customers. Our vision is to be the best version of our team as possible, exceeding sales goals and growing our clients' business. We develop deep relationships with our clients, challenging them with a long term growth lens both on and off Amazon. We identify and overcome obstacles, leading with a solution mindset. We have fun and make history while doing it.BASIC QUALIFICATIONS• 10+ years of B2B sales experience • 10+ years of digital ad sales as an individual contributor selling performances based advertising or similar offering experience • Experience managing internal and external relationships • Experience of high level negotiation and successful internal and external relationship management ...

Would you like to be part of a team focused on helping the leading Australian Software businesses grow and succeed at the global scale? Do you have the business acumen and technical background to partner with executive stakeholders, align on AWS services and partnership programs to best support their growth strategies?As a Principal Account Manager you will work on the most complex ISV customers and opportunities, taking a leading role in developing their long-term strategy with AWS. Combining an informed view of the market with a deep understanding of emerging technology trends, you will support innovation across the segment. As a recognised thought leader, your influence on the strategy of our customers will be built through role modelling and delivery or bar-raising guidance to the broader ISV team.The ISV team focuses on Australian software companies who produce, maintain and distribute software. Our customers are business to business providers who generate revenue through software license sales or Software as a Service (SaaS) subscriptions. We help ISV customers leverage the cloud and modernize their platforms to reduce cost, increase agility and ultimately build better software products. We work at the edge of technology innovation in partnership with our ISVs and are focused on helping traditional ISVs transform, whilst also enabling the next generation of ‘born on the cloud’ Australian Unicorns. #aws-ags-ANZKey job responsibilitiesThe ISV Principal Account Manager will be part of a global team supporting our leading Australian software companies (ISV's). In this role, they will create compelling value propositions around AWS products, services and programs to help consistently deliver on desired customer outcomes. The blend of sales and technical skills this role requires will enable engagement at the C-Suite level, as well as with software developers and architects. Analytical thinking and the ability to thrive in fast-paced dynamic environments will be vital to enhance the ability to support our software customers build on AWS in new ways, and help them deliver those products to the market.• Work with customers to accelerate their business outcomes, and recommend AWS products and services in line with business needs.• Drive solutions discussions with your customers, diving deep into the details to solve complex challenges.• Work backwards from your customer's business needs to accelerate adoption of the most appropriate AWS services.• As a trusted advisor, use your interpersonal skills to influence a variety of stakeholders from technical teams to executives, and help ensure short-term technology decisions are aligned with long-term goals. • Help define the strategy by engaging and partnering with highly technical teams (Solutions Architects, Technical Account Managers, AWS professional services consultants and consulting/managed services partners).• Act as a thought leader in the wider community, playing a key role in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. • Serve as a key member of the ISV Sales team through influencing decision makers across multiple domains, to ensure customer success in building solutions on AWS which align to long-term business goals.A day in the lifeDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About the teamAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. BASIC QUALIFICATIONS• 10yrs+ technology sales experience with a focus on field sales (quota-carrying) in software, cloud or SaaS markets selling to C-level executives. • Experience in identifying, developing, negotiating, and closing large-scale technology deals.• Experience in proactively growing customer relationships, while expanding an understanding of the customer’s business. • Exceptional communication and presentation skills. ...

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields.Amazon scientists employ the company's working backwards method to identify problems to solve on behalf of customers in research areas ranging from machine learning to operations, GenAI, robotics, quantum computing, computer vision, economics, search, sustainability and more.Learn more about Amazon Science here: https://www.amazon.science/We are hiring across multiple businesses and in many locations across the US. Apply here to learn more about open roles that could be a compelling fit for your background. Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).BASIC QUALIFICATIONS- 10+ years minimum of hands-on science application experience- PhD in a relevant technical field (or equivalent experience in some cases) ...

Are you a scientist interested in pushing the state of the art in Generative AI, LLMs, LMMs? Are you interested in working on ground-breaking research projects that will lead to great products and scientific publications? Do you wish you had access to large datasets? Answer yes to any of these questions and you’ll fit right in here at Amazon.We are looking for a hands-on researcher, who wants to derive, implement, and test the next generation of Generative AI algorithms in multiple projects ranging from Computer Vision, ML, and NLP. The research we do is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research. In order to achieve our vision, we think big and tackle technology problems that are cutting edge. Where technology does not exist, we will build it. Where it exists we will need to modify it to make it work at Amazon scale. We need members who are passionate and willing to learn. Key job responsibilities- Derive novel computer vision, machine learning, and NLP algorithms.- Define scalable computer vision, machine learning and NLP models.- Invent the next generation of Generative AI models.- Work with large datasets.- Work with software engineering teams to deploy your - Publish your work at top conferences/journals.- Mentor team members.A day in the lifeWe are a team of seasoned scientists. We work on science problems and publish our results at major scientific conferences. We work with multiple other science teams at Amazon.About the teamWe are a tight-knit group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. If that sounds like an environment you like, join us.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- A PhD in CS, ECE, Statistics or in a related, highly quantitative field.- Extensive research expertise in generative AI, computer vision, machine learning, or NLP.- 10+ years of hands-on experience in computer vision, machine learning, or NLP.- Proven record of developing new approaches, algorithms, application areas, etc.- Excellent communication skills.- Excellent skills in problem solving, programming, and computer science fundamentals.- Solid background in statistics, math, CS, machine learning, and computer vision or NLP. ...

Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking an exceptional Principal Applied Scientist to join our organization, who possesses a deep understanding of both classical computer vision techniques and state-of-the-art machine learning approaches. The ideal candidate will be hands-on, coding-proficient, and a thought leader capable of influencing the direction of ML applied to Perception and Robotics.Key qualifications:* Extensive experience in computer vision, from traditional methods (e.g., SIFT, SURF, optical flow) to modern deep learning architectures* Profound understanding of advanced vision models such as Vision Transformers (ViTs), MultiMAE, and their applications* Expertise in generative models, particularly diffusion models and their applications in robotics (e.g., diffusion policy)* Proven track record in developing scalable ML frameworks for online/offline learning, large language models, prediction systems, and continuous model optimization* Strong background in 3D vision, including multi-view geometry, SLAM and 3D reconstructionKey job responsibilities* Set the technical direction for the group, bridging classical computer vision techniques with cutting-edge deep learning approaches* Drive research and development of advanced perception systems, incorporating the latest advancements in self-supervised and multi-modal learning* Collaborate with top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems* Lead the integration of vision-language models and foundation models into perception pipelines* Develop novel approaches for few-shot learning and domain adaptation in robotic perception* Advance the state-of-the-art in areas such as 3D scene understanding, object pose estimation, and activity recognition* Drive ideas to products using a comprehensive toolset including deep learning, active learning, and computer vision (camera selection, camera calibration, instance and semantic segmentation, pose estimation, activity understanding)* Mentor and guide team members in adopting best practices and staying current with rapid advancements in the fieldThe ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier conferences (CVPR, ICCV, NeurIPS, ICML, etc.) and practical experience applying advanced ML techniques to real-world robotics problems.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamBASIC QUALIFICATIONS- 10+ years of scientist or machine learning engineer management experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Experience building state of the art machine learning models or developing algorithms ...

Live Playback and Operations organization owns the live and 24/7 linear channel playback experience from content ingestion and signal acquisition, encoding (H.264/AVC, H.265/HEVC, AV1 etc) and streaming technologies (DASH, HLS, Smooth streaming, Low Latency), feature development (time shifted viewing, replays) to content distribution and delivery (CDN capacity management & load balancing) to the end customer for Prime Video. In addition, the organization handles the D2C (direct to consumer) app and Media Asset delivery for ~50 affiliates for MGM+. To run everything end-to-end at Amazon scale the org owns operations (active monitoring and incident response), instrumentation, infrastructure (on-premise & cloud encoders, direct connects, transport fiber, satellite), and tooling for these areas. Prime Video streams thousands of Amazon produced and third party live events per year in addition to thousands of linear stations globally. We achieve that with high-availability, low-latency, using different formats on approximately 1 billion devices, and do that for millions of customers with the best possible audio-video experience and frugal use of infrastructure and people. This is made possible through the use of advanced technology and science to automate operations, high judgment decision support systems and the infrastructure to deliver complex services simply, reliably and consistently. The Principal Applied Scientist leads innovation across a broad range of specialist areas. These include use of AI for routing content through our vast video delivery network, optimization of video operations, automation of signal processing, identification of defects and anomalies, predicting granular delivery capacity needs using public and private data, and much more. We have advanced capabilities in dedicated groups for low latency content delivery and computer vision quality analysis. Our organization is globally dispersed with an existing science group that has research collaborations with multiple US and European Universities, science publishing, contributions to industry standards and patents. The leader in this role will grow our science broadly across the organization, opening opportunities for innovation and use of cutting-edge science in areas where we see the potential to make significant impact to the service we provide to our customers and how we do that efficiently and effectively at Amazon scale.The scope of the role is broad and reports into the Director of the organization with the intention of steering our science strategy across a wide range of areas. This includes spotting opportunities, connecting with science and engineering leaders across Amazon. It is also required that the leader brings industry and university research context into the organization. The technology landscape changes fast and we make careful choices to balance vendor partnership along with self-build decisions to trade-off moving fast with owning core capabilities. The problems and challenges we face tomorrow may be quite different from those today, and the technology we need to innovate for our customers to go faster, increase our quality, and expand the range of products we provide to customers. The Principal is a key advisor to the Director and leadership team of the organization with the skills to communicate complex subjects simply both orally and in written form to influence our strategic and tactical decisions. You probe assumptions, illuminate pitfalls, bring clarity, and generate shared understanding on science topics. As an Applied Scientist, it is a 'hands-on' science leadership role, and requires opining on decisions that affect the way we create, build, and evaluate scientific solutions. Your views are influential in which research directions we invest in, the universities we collaborate with, and the outcome results. You grow other science leaders, mentoring and coaching them and develop science knowledge and application widely across the organization through educating leaders at multiple levels. You acquire expertise yourself to keep across trends and steer Prime Video in the best direction to invest and the benefits that will accrue from that. Your influence stretches across multiple, diverse teams, globally, and across organizational boundaries. Our science overall is stronger, our understanding of science topics is deeper and broader, and the programs we invest in generate impactful outcomes through your leadership.The role expects you to have a direct science output yourself in a strategic area, connecting with professors at leading universities, speaking and representing Amazon at conferences and industry events and influencing industry standard bodies. You are a thought leader and represent us on specific topics. You are connected with industry and standardization bodies and recognized in those communities. You publish, co-author, and review publications and secure our intellectual property through patents. Key job responsibilitiesThe Playback Development & Operations Principal Scientist is a subject matter expert recognized as a thought leader in a particular science discipline at a global level. For instance, you serve as an Area Chair at peer-reviewed conferences or as a senior program committee member. The role requires connection with internal and external research groups and you are expected to be active in the academic community and have relationships with multiple universities. Your track record includes research, publications, or intellectual property, and application of that domain expertise into real-world problems. The role expects that you will continue to publish in top-ranking journals and present at leading conferences. As a trusted advisor to senior leadership, you are an expert in state-of-the-art methodologies in at least one area of computer science, natural language processing, computer vision, video signal processing, Gen AI, content distribution, networking or other similar topics. As the senior science leader in a large organization, you will develop talent in Prime Video, through involvement in the hiring process, annual evaluations, and promotion assessments. You will develop other science leaders and have a background of growing multiple other experts to an advanced level, perhaps as a PhD advisor or as an industry leader. You have prior experience of getting technology across the line, and have written critical path code or algorithms in the past, and you could be hands on and own most complex and key algorithms when necessary. You understand the concerns of both software engineers and are familiar with research methods used in modern science. In current and previous roles, you have examples where you delivered scientifically complex solutions into production that are innovative and impactful. You can articulate those problems clearly, communicating core science concepts simply, and the resulting benefits. You are up to date with modern trends in compute science. You can speak confidently and influence opinion both at VP level and with junior engineers on the application and opportunities of Machine Learning and Generative AI. You are familiar and have hands-on experience using large language models, transformer architectures, and recent innovations. Ideally, you are also familiar with an aspect of audio-video signal processing, computer vision, or networking/media distribution technology and research. You will prepare and deliver artifacts that set the standard for Prime Video science leadership and engineering excellence. Your science writing and where applicable algorithms, analysis, and research results serve as example within the organization. The research you lead and influence will have results that are demonstrated in service/product features and efficiencies in operations. You collaborate effectively with other leaders to get things done. Your involvement makes science easier to generate impact and saves effort for the organization as a whole to progress our objectives. You do that through advising senior leaders and bringing understanding to complex subjects. You move fast, both to resolve ambiguity and bring innovative solutions to intrinsically hard, previously unsolved problems. To do that, you identify opportunities and convince other leaders by bringing them along with your ideas. You use metrics, data, and analysis to make informed decisions. You lead research that takes balanced risks that inform our future. You not only dive into the immediate pain points but also set the long term science roadmap and vision for the next 3-5 years.BASIC QUALIFICATIONS* PhD with applied research experience in Computer Science or in a highly quantitative field* Evidence of Science/Engineering publications in relevant journals or conferences with more than one as first author * Examples of sourcing funding / creating research relationships with universities or other institutions* Experience of building machine learning models for business application* Background of programming in Java, C++, Python or related language* Theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning* Conversant with current approaches to generative AI, large language models and their applications ...

Amazon's Pricing & Promotions Science is seeking a driven Principal Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.We are looking for a talented, organized, and customer-focused technical leader to join our Product Intelligence science group, with a charter to derive deep neural product relationships, quantify substitution and complementarity effects, and publish trust-preserving probabilistic price ranges on all products listed on Amazon.This role requires an individual with excellent scientific modeling and system design skills, outstanding business acumen, and an entrepreneurial spirit. We are looking for an experienced leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.Key job responsibilities- Develop the team. Mentor a highly talented group of applied machine learning scientists & researchers. - See the big picture. Shape long term vision for Amazon's science-based competitive, perception-preserving pricing techniques- Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale- Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems- Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.- Deliver Impact. Develop, Deploy, and Scale Amazon's next generation foundational price estimation and understanding systemAbout the teamWithin Pricing & Promotions Science, the Product Intelligence team leverages planet scale multi-modal data on billions of Amazon and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error freeBASIC QUALIFICATIONS- Ph.D. or Master's degree in Computer Science, Statistics, Machine Learning, Natural Language Processing, Financial Modeling, or related field.- 10+ years of broad AI/ML research experience on large-scale industry problems in pricing, time series, forecasting, trading, recommendation, or natural language domains- 5+ years of experience technical leadership of applied science teams- 5+ years of experience with AWS or Amazon ML tech stack and tooling- Expertise in deep learning methods- A track record of balancing project delivery with longer term research, demonstrated via publications, or contributions to the open source community.- Proficiency in programming languages such as Python and frameworks like TensorFlow, PyTorch- Proven written and verbal technical communication with the ability to present complex topics clearly to audiences with varying levels of technical familiarity ...

How can we improve the shopping experience on Amazon.com by tailoring what we display on our pages based on customer interests and preferences? How do we use generative models to help us innovate in different ways to enhance the shopping experience? How do we generate personalized content that helps customers shop at scale? Our team's stated missions is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations." Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build models that streamline customers' shopping experiences by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day. Using Amazon’s large-scale computing resources, you will design and deploy state-of-the-art models that help customers shop on Amazon. You will ask research questions about customer behavior, design state-of-the-art models that help customers shop, and deploy these models to production. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit customers and the retail business. We are looking for a passionate, hard-working, and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used everyday by people you know.BASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience in a wide breadth of modeling approaches and applications ...

Join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers. Key job responsibilities“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.”Please visit https://www.amazon.science for more information Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for our International Consumer Businesses. The team builds the next generation of Machine Learning solutions for a wide spectrum of problems by leveraging generative-AI and LLMs, in areas such as Recommendations, Search Relevance, Catalog Quality, Online Ads, Pricing, Demand/Forecasting, Computer Vision, and Conversational Systems.A day in the lifeBuild advanced algorithmic systems that help optimize millions of transactions every day.About the teamThe team builds the next generation of Machine Learning services for a wide spectrum of problems in areas such as Recommendations, Search Relevance, Computer Vision, Catalog Quality, Online Ads, Pricing, Demand/Forecasting, and Conversational Systems.BASIC QUALIFICATIONS - Has PhD degree in CS, machine learning, Engineering, Statistics, Operations research, applied math or in a highly quantitative field - 8+ years of hands-on experience developing and implementing machine learning algorithms and models. - Strong demonstrated skills implementing and deploying large scale machine learning applications and tools. - Communication and data presentation skill - Strong problem solving ability. ...

Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. To lead Prime’s growth and impact through science and innovation, we are seeking a Principal Applied Scientist, Prime Science, to create and deliver Machine Learning innovation both for customer facing and internal solutions. To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science vision, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientists, applied scientists, engineering, and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus, and business understanding.Prime is committed to diversity, equity, and inclusion and recognizes that our ability to serve our members is contingent on having diverse backgrounds, ideas, and ways of working on our team. This leader plays a key role as a member of the Prime worldwide leadership team to set the right organizational vision, standards, and mechanisms to ensure Prime is the best place for top talent to thrive. Key job responsibilities- Own and drive the most complex and strategic solutions across the business; responsible for many billions in revenue.- Act as a thought leader and forward thinker, anticipating obstacles to success and helping avoid common failure modes.- Research, build, and deploy innovative machine learning solutions; working across all technical disciplines.- Partner with science, engineering, and product leaders across the business to identify and deliver innovative machine solutions; identify new opportunities, define the vision and execute solutions that continually delight customers.- Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions.BASIC QUALIFICATIONS- Ph.D. in Machine Learning, Computer Science, or related disciplines.- 10+ years of post-Ph.D. experience, delivering highly effect machine learning solutions that solve real-world problems at a very large scale.- Expert in machine learning, statistics, and experiment design.- Expert in taking machine learning solutions into production at a large scale.- Experience with Large Language Models and Generative AI.- Experience hiring and building teams of applied scientists.- Proven communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence ...

The Amazon Private Brands’ Discovery team develops innovative machine learning solutions to enhance customer awareness of Amazon's private brands and help customers discover products they love. This interdisciplinary team of scientists and engineers incubates and builds disruptive technologies, tackling some of the most complex scientific challenges at Amazon. To achieve this, we leverage a wide range of advanced techniques, including Natural Language Processing (NLP), deep learning, large language models (LLMs), multi-armed bandits, reinforcement learning, Bayesian optimization, causal and statistical inference, and econometrics, to drive discovery throughout the customer journey. Our solutions are not only critical to the success of Amazon's private brands but also serve as a leading example of discovery technologies across Amazon. We are seeking a Principal Scientist to join our team and lead the development of cutting-edge machine learning models and algorithms that will drive innovative discovery solutions for Amazon Private Brands. In this hands-on role, you will apply your expertise to propose solutions, create software prototypes, and successfully transition these prototypes into production systems using modern software development tools and methodologies. You will also be responsible for scaling these solutions to meet the growing and evolving needs of our customers. As a Principal Scientist, you will play a pivotal role in shaping the vision, design, and roadmap for complex, previously unsolved problems, guiding solutions from inception to implementation. Strong verbal and written communication skills, a self-driven mindset, and the ability to deliver high-quality results in a fast-paced environment are essential for success in this role.Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You have a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).BASIC QUALIFICATIONS- 10+ years minimum of hands-on science application experience- PhD in a relevant technical field (or equivalent experience in some cases)- Strong publication track record ...

Are you passionate about leveraging AI to revolutionize healthcare and life sciences? AWS Health AI is seeking a visionary Principal Applied Scientist to lead the research and development of applications that reimagine the experiences life sciences researchers and healthcare practitioners. As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. As Principal Applied Scientist, you'll lead pioneering research in AI-driven protein design and antibody engineering. You’ll guide a team of scientists to invent and simplify on behalf of life sciences researchers and define novel, generative AI agent based experiences to help those researchers accelerate drug discovery. You will also drive innovation by integrating computational design pipelines with laboratory workflows, creating efficient systems for rational therapeutic design. This is a highly visible and impactful role within AWS, offering the opportunity to shape the future of healthcare technology and drive innovation at a global scale. You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will be technically fearless, with a passion for building scalable science and engineering solutions.Key job responsibilitiesWhat You'll Do:* Lead a team of talented applied scientists in solving complex healthcare challenges* Develop novel algorithms and modeling techniques for multimodal systems* Drive the science roadmap and innovation strategy for AWS Health AI* Collaborate with cross-functional teams to create impactful products and services* Conduct cutting-edge research and publish in top-tier conferences and journalsAbout the team* Work on meaningful problems that improve lives globally* Access to cutting-edge technology and vast resources* Collaborate with world-class researchers and engineers* Opportunity to publish and present at top conferences* Shape the future of AI in healthcareBASIC QUALIFICATIONSBASIC QUALIFICATIONSWhat We're Looking For:* Strong background in deep learning and multimodal systems* Passion for applying AI to healthcare challenges* Ability to lead and mentor research teams* Experience in developing scalable, secure AI/ML systems* Expertise in areas such as medical imaging, genomics, or clinical decision support* Excellent communication and collaboration skills* PhD with specialization in artificial intelligence, natural language processing, machine learning, biomedical engineering, bioinformatics, medical imaging, genomics, or computational cognitive science* 8+ years of combined academic and research experience using ML to solve problems in natural language processing (NLP), computer vision (CV), computer speech (ASR), and/or other AI domains. Health-domain preferred.* Be a thought-leader: bring passion for innovation and a drive to solve challenging problems that can have a significant impact on healthcare and human well-being* Can successfully sell ideas to an executive level decision maker.* Mentors and trains the research scientist community on complex technical issues.* Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.* Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)* Experience with cloud computing platforms, preferably AWS ...

As a Principal Applied Scientist with Prime Video, you will be a senior thought leader in the group who finds new ways of applying state of art computer vision and language research to understand and manipulate video centric digital media - creating delightful outcomes for our customers. You will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent. You will identify research directions, create roadmaps for forward-looking research and influence senior leadership on long-range investments in science.BASIC QUALIFICATIONSPhD in deep learning or a related field with minimum 7+ years of industry experience.Publications at top-tier peer-reviewed conferences or journals.Fluency in a high-level modeling language such as R, Python, Matlab or other statistical software.Knowledge and experience with foundation models.Expertise in Video processing, language translations, and NLU algorithms ...

Futures Design is the advanced concept design and incubation team within Amazon’s Device and Services Design Group (DDG). We are responsible for exploring and defining think (very) big opportunities globally and locally — so that we can better understand how new products and services might enrich the lives of our customers and so that product teams and leaders can align on where we're going and why we're going there. We focus on a 3–10+ year time frame, with the runway to invent and design category-defining products and transformational customer experiences. Working with Amazon business and technology partners, we use research, design, and prototyping to guide early product development, bring greater clarity to engineering goals, and develop a UX-grounded point of view.Our team is dedicated to unlocking new foundational capabilities in generative AI, guided by the thesis that embedding understanding through human factors, cognitive science, and socioeconomics is crucial to building AI systems that align with human needs. We place particular emphasis on the capabilities of simulacra through agentic systems and experiential/evolutionary learning, which we believe are vital to accelerating the development of AI as an aligned partner. Joining our team will give you the chance to drive key decisions that will impact the lives of millions of Amazon customers. Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).A day in the lifeWe're looking for a Principal Applied Scientist to join the growing DDG Futures Design team.You thrive in ambiguity and paradigm shifts – remaking assumptions of how customers engage, devices operate, and builders create. You apply deep expertise that spans design, technology, and product, grounding state-of-the-art emerging technologies through storytelling and a maker's mindset. You learn and adapt technology trends to enduring customer problems through customer empathy, code, and iterative experimentation.You will wear multiple hats to quickly assimilate customer problems, convert them to hypotheses, and test them using efficient technologies and design methods to build stakeholder buy-in. You’ll help your peers unlock challenging scenarios and mature the design studio’s ability to deliver design at scale across a breadth of devices and interaction modalities. You will work around limitations and push capabilities through your work. Your curiosity will inspire those around you and facilitate team growth, while your hands-on, collaborative nature will build trust with your peers and studio partners.BASIC QUALIFICATIONS* PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science* 10+ years of combined academic and research experience* Multi-disciplinary expertise with demonstrated application of AI to a human-centered problem space (e.g., human factors or experiential learning)* Functional thought leader, sought after for key tech decisions* Can successfully sell ideas to executive level decision makers* Mentors and trains the research scientist community on complex technical issues* Proven track record of building complex solutions in ambiguous environments* Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers* Experience developing software in traditional programming languages (e.g., Python, C++, Java)* Excellent written and spoken communication skills* Proven record of developing new approaches, algorithms, application areas, etc.* Extensive research expertise in generative AI, computer vision, machine learning, or NLP* Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms ...

This is a unique opportunity to join a small, high-impact team working on AI agents for health initiatives. You will collaborate with experts across domains to develop cutting-edge AI solutions. You'll have the chance to work on projects that could significantly impact how individuals manage their daily health and long-term wellness goals.If you're passionate about solving meaningful problems in healthcare through AI, this role is for you. Technically, you'll work on large-scale data processing, algorithm development, and AI agent implementation. You'll have the chance to learn and innovate alongside healthcare experts.In this early-stage initiative, you'll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.Key job responsibilitiesArchitect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions, from data pipelines to user interfaces. Spearhead best practices in AI engineering, including testing and continuous improvement.A day in the lifeYou'll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. You'll shape product features, user experience, and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.BASIC QUALIFICATIONS* Graduate degree with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science * 7+ years of combined academic and research experience ...

The AWS Neuron Compiler team is actively seeking applied scientists to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.The Automated Reasoning Group in the AWS Neuron Compiler team works on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in compiler stack. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will contribute to the design and semantics of DSLs that our customers love when crafting neural architexctures. You will architect and implement business-critical tooling, publish cutting-edge research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, and program synthesis engines will be a benefit in this role.A background in machine learning and AI accelerators is preferred but not required. We expect a strong publication record in compilers, IR semantics, static analysis or verification.A day in the lifeDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS* PhD in computer science or a related field* A strong publication record* Track record in hands-on compiler or tool development ...

The Prime Video Global App Experience organization operates at planet-wide scale and is a critical part of Prime Video’s flywheel. Our client apps (mobile, living room, desktop, automotive) are the gateway to the Prime Video experience, enabling customers to quickly find something to watch at which point the app fades in the background and the customer is immersed in the storytelling.We're reinventing how defects are detected in complex client apps, like Prime Video, and machine learning is going to be a key enabler to achieving that vision. The traditional approach of developing end-to-end integration tests on a per client basis isn't feasible at our global scale and large client distribution footprint. That approach to testing also doesn't detect "unknown/unknown" types of defects which occur more often than you'd expect when you operate a worldwide streaming video service used by hundreds of millions of customers. If you are passionate about film, sport or TV and you’re looking for a role where you can maximize your impact as a world class Principal Applied Scientist then come help us achieve our mission of building the most customer-centric, immersive and visually-rich video streaming experience on any device.Key job responsibilitiesAs a Principal Applied Scientist in the Prime Video Global App Experience organization you will leverage your deep subject matter expertise in applied machine learning to prototype and productionalize approaches to detect defects in our client apps. The space is ambiguous. No one is going to tell you which types of defects to work on nor which ML techniques to apply (classical ML, Deep Learning, CVML, NLP, etc) . Your role is to assess the opportunities, tailwinds, headwinds and risks. Then develop a vision and execute on a plan to achieve meaningful outcomes for our customers. At our scale improving CX metrics by just a few basis points can result in the reduction of millions of defects experienced by our customers annually. You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring.BASIC QUALIFICATIONS- 10+ years of tech industry or equivalent experience- Experience working effectively with science, data processing, and software engineering teams- Graduate degree in Computer science/Math or related field.- Experience in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch- Computer Science fundamentals in data structures, algorithm design and complexity analysis.- Ability to develop a machine learning strategy for non-traditional areas such as developer productivity, software quality assurance (testing), availability, app performance/fluidity and latency reduction.- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. ...

At Prime Video we are inventing a customer-centric future that offers more choice and flexibility than traditional Cable, Satellite television and other streaming providers. Where you can watch video content such as Prime Originals (Fallout, The Boys, The Marvelous Mrs. Maisel), movies, TV shows, Live sports (Thursday Night Football, English Premier League), local programming and hundreds of add-on subscriptions such as HBO max and Paramount+, anytime anywhere. All on your terms instead of having to pay for an expensive one-size-fits-all bundled package or be locked into long term contracts.The Core Playback organization operates at a global scale and is a critical part of Prime Video’s flywheel. We own Prime Video's core streaming technology and playback experience across all devices including Android phones and tablets, iOS devices, Web, Living Room Smart TVs, set top boxes, Windows10, Mac OSX, gaming consoles in more than 200 countries and territories. The technology landscape in streaming playback is rapidly changing. The Principal Scientist role in Core Playback reports to the Director of the organization with the intention of steering our science strategy across a wide range of areas. Key job responsibilitiesAs a Principal Applied Scientist in the Prime Video Core Playback organization you will have deep subject matter expertise in applied machine learning. You will work with multiple teams of scientists, engineers and product managers to translate business and functional requirements into concrete deliverables. The field of Artificial Intelligence and Machine learning is experiencing unprecedented innovation and while it is important to know how recent advancements, such as GenAI, can be applied to develop new approaches to improve customer, developer and business outcomes, you'll work backwards from the desired outcomes to determine which ML technique is best applicable (traditional ML, GenAI, etc). Problem spaces you will be working on include: improving the customer streaming experience, video streaming and delivery heuristics in the PV apps, generating actionable insights from large scale of playback telemetry data, reducing the cost/effort/time to detect defects in customer's playback Quality of Experience (QoE) , applying ML to all aspects of the software development process to allow us to develop and release features faster and improving streaming playback quality and reliability. You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring.BASIC QUALIFICATIONS- 10+ years of tech industry or equivalent experience- Experience working effectively with science, data processing, and software engineering teams- Graduate degree in Computer science/Math or related field.- Experience in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch- Computer Science fundamentals in data structures, algorithm design and complexity analysis.- Ability to develop a machine learning strategy for non-traditional areas such as developer productivity, software quality assurance (testing), availability, app performance/fluidity and latency reduction.- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. ...