Machine Learning Science

If you are excited about applying your science and engineering skills in business problems in the space of risk measurement, quantification, and mitigation, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payment and Lending (ABPL).ABPL is seeking an Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features & processes that will delight our customers.Key job responsibilities- Apply advanced machine learning, deep learning and other analytical/scientific techniques to enable and improve Credit Management decisions- Source and assess various structured and unstructured data and leverage automated modeling framework to streamline data evaluation and integration- Spearhead leader to research and adopt State-of-the-Art AI/ML techniques and define the roadmap to revolutionize underwriting models leveraging adaptive modelling methods, Large Language Models(LLM), etc.- Bar-raising the design and implementation of production model pipelines(real time and batch) , lead design and code reviews to insist on high bar of engineering excellence and ensure high performance of the models- Collaborate effectively with Credit Strategy, Operations, Product, data and engineering teams. You will be advising and educating the leadership and stakeholders of the models and strategic decision making.- Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies to improve customer outcomes.A day in the lifeAs an Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application experience- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience programming in Java, C++, Python or related language- Experience in patents or publications at top-tier peer-reviewed conferences or journals ...

** This position is open to all candidates in Seattle, WA, NYC and Arlington, VA **Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.Key job responsibilitiesAs a Machine Learning Applied Scientist, you will:* Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis* Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products businessAbout the teamWe are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!Key job responsibilities- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.- Use expertise in supervised and uplift learning algorithms to improve ML performance- Research and implement novel ML and statistical approaches to add value to the business.- Design A/B tests and conduct statistical analysis on their results- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area- Present and publish science research, contributing to Amazon's science community- Mentor junior engineers and scientists.About the teamOur team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with reinforcement learning- Publication record on machine learning methods ...

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 ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilitiesAs an Applied Scientist, you will-- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder. Publish novel developments in internal and external papers, forums, and conferences- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamABOUT AWS:Diverse 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. BASIC QUALIFICATIONS- Master's degree in computer science, computer engineering, or related field- 2+ years of building machine learning models or developing algorithms for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience with neural deep learning methods and machine learning ...

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.The Science team at AWS Bedrock builds science foundations of Bedrock, which is a fully managed service that makes high-performing foundation models available for use through a unified API. We are adamant about continuously learning state-of-the-art NLP/ML/LLM technology and exploring creative ways to delight our customers. In our daily job we are exposed to large scale NLP needs and we apply rigorous research methods to respond to them with efficient and scalable innovative solutions.At AWS Bedrock, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world’s leading cloud companies and you’ll be able to publish your work in top tier conferences and journals.We are building a brand new team to help develop a new NLP service for AWS. You will have the opportunity to conduct novel research and influence the science roadmap and direction of the team. Come join this greenfield opportunity!About the teamDiverse 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. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...

At AWS, we build and operate AI services responsibly, driving measurable success along multiple Responsible AI dimensions, including safety, fairness, privacy, security, robustness, explainability, and transparency.As a Principal Applied Scientist on this team, you will contribute to:• Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI.• Developing new solutions and science best practices in Responsible AI.• Developing our research and innovation agenda.• Defining the strategies, priorities and metrics for technical progress in Responsible AI.• Building and developing the AWS team.• Driving adoption of new science and best practices among service teamsBASIC QUALIFICATIONS• Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI.• Developing new solutions and science best practices in Responsible AI.• Developing our research and innovation agenda.• Defining the strategies, priorities and metrics for technical progress in Responsible AI.• Building and developing the AWS team.• Driving adoption of new science and best practices among service teams. ...

Do you want to join an innovative team of scientists who leverage cutting-edge techniques like reinforcement learning (RL), large language models (LLMs), graph analytics, and machine learning to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that integrate these state-of-the-art techniques to help manage the trust and safety of millions of customers every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating sophisticated algorithms that combine RL, LLMs, graph embeddings, and traditional machine learning methods to solve complex real-world problems? Do you like to innovate, simplify, and push the boundaries of what's possible? If yes, then you may be a great fit to join the Amazon Account Integrity team, where you'll have the opportunity to work at the forefront of AI and machine learning, tackling challenging problems that have a direct impact on the security and trust of Amazon's customers.The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgement decision‐making where we cannot apply automation.Please visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- • 3+ years of building machine learning models for business application experience- • PhD, or Master's degree and 6+ years of applied research experience- • Experience programming in Java, C++, Python or related language- • Experience with neural deep learning methods and machine learning- • 2+ experience in leading a team to solve challenging machine learning problems with quantitative approaches- • Experience in patents or publications at top-tier peer-reviewed conferences or journals- • Experience with LLM model training, large scale training data curation, training/inference optimization. ...

The Alexa Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment; we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well received by our customers.As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLMs). And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities- Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and Automation- Develop robust techniques for synthetic data generation for training large models and maintaining model generalization- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things doneAbout the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence, with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it. We ask each other questions and value our different perspectives.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

The Item and Relationship Identity Systems (IRIS) team in WW Amazon Stores is looking for a passionate and talented Principal Applied Scientist with a strong background in deep learning and multimodal AI, to lead the development of industry-leading multimodal machine learning models to help us make the world’s best product catalog even better. In this role, you will partner with technology and business leaders to build new state-of-the-art algorithms, large multimodal models, and services to infer product-to-product relationships that matter to our customers. You will work in a collaborative environment where you can experiment with massive data from the world’s largest product catalog, work on challenging problems, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers.An information-rich and accurate product catalog is a strategic asset for Amazon. We use cutting edge machine learning techniques to proactively identify relationships between products within the Amazon product catalog. This problem is challenging due to sheer scale (billions of products in the catalog), diversity (products ranging from electronics to groceries to instant video across multiple languages), multitude of input sources (millions of sellers contributing product data with different quality) and varied relationship types.Key job responsibilitiesAs a Principal Applied Scientist with the IRIS team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly help our customers and will power unrivaled product discovery, inform customer buying decisions, offer a large selection, and position Amazon as the first stop for shopping online. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence. 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 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. A day in the lifeWe love solving challenging and hard problems in our quest to innovate on behalf of our customers. We push the boundaries to leverage and invent technologies which help create unrivaled experiences for our customers to help us move fast in a growing and changing environment. We use data to guide our decisions, work closely with our engineering and product counterparts, and partner with other Science teams to learn and guide in an environment of innovation.About the teamThe IRIS team has a mission to push the envelope with multimodal LLMs and Gen AI to provide the best-possible eCommerce experience for our customers. We push the boundaries of advanced ML and generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our e-commerce business.BASIC QUALIFICATIONS* PhD with specialization in artificial intelligence, natural language processing, or machine learning* 10+ years of combined academic and research experience.* Functional thought leader, sought after for key tech decisions and influence ideas to executive level decision maker.* Mentors and trains the research scientist community on complex technical issues.* Experience developing software in traditional programming languages (C++, Java, etc..).* Excellent written and spoken communication skills ...

Are you passionate about helping customers innovate and create transformative experiences? Do you want to be at the forefront of utilizing AI and ML services to drive innovation for thousands of AWS customers globally? And are you interested in building and leading high-performing teams in the fast paced area of generative AI? The AWS Generative AI Innovation Center (GenAIIC) is on a mission to accelerate production adoption of AWS generative AI services across global customers. This is an exciting opportunity to be part of a fast growing and entrepreneurial organization, bringing innovation to customers and growing the adoption of cloud services.The GenAIIC organization is staffed with specialized and experienced business strategists and ML scientists who solve complex problems for customers. We start with the customer and work backwards in everything we do. We believe that GenAI solutions, when founded in deep customer needs, can transform organizations, and produce groundbreaking experiences. We are a small, tight-knit team who value authentic, teammates that think creatively and will proactively seek out opportunities to advance the impact of the GenAIIC. As the GenAIIC Geo Leader, AWSI, you will be responsible for building and managing a team of generative AI strategists and ML scientists that are working with large multi-national customers to architect and implement innovative generative AI solutions. You will regularly engage with Director, VP, C-level customer executives. You will be responsible for building relationships, capturing opportunity, driving engagement, and delivering on business objectives. You must bring a strong blend of business and technical skills and lead all GenAIIC activities for AWS Industries. You are ready to roll-up your sleeves and work alongside the team in developing solutions when needed. You will lean on your experience working directly with customers, and are passionate in empowering these organizations to leverage generative AI and derive business outcomes. Key job responsibilities- Lead a high-performing team of business strategists, ML scientists, and generative AI domain experts- Guide the team in designing, developing, and evaluating innovative generative AI solutions to address customer issues - Advise and influence customers on technology decisions, including contrasting technology choices- Drive adoption of AWS generative AI services, delivering workload/solution specific domain expertise to the broader field organization, and developing repeatable, packaged solutions- Develop new strategies and mechanisms to address evolving customer needs, while driving higher business impact for AWS- Influence product roadmap with service teams to deliver value for customers and accelerate adoptionAbout the teamAbout AWSDiverse ExperiencesAWS 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.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. BASIC QUALIFICATIONS- Master’s degree in computer science, engineering, or related field- 10+ years of experience in a customer-facing leadership role in the technology industry- 5+ years of experience in people management, leading multi-disciplinary teams consisting of business and technical subject matter experts- Hands-on experience with generative models, computer vision, NLP, and other ML techniques- Experience solving diverse and complex technical challenges for large global organizations ...

Are you excited about developing algorithms and models to power Amazon's next generation robotic storage systems? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles.The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Research Scientist to develop planning and scheduling algorithms to support Amazon's next generation robotic storage systems. The focus of this position workflow optimization and robot task-assignment. It includes designing and evaluating planning and scheduling algorithms using a combination of machine learning and optimization methods as appropriate. This work spans from research such optimal decision making, to policy learning, to experimenting using simulation and modeling tools, to running large-scale A/B tests on robots in our facilities.The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses!Key job responsibilities- Research design - How should solve a particular research problem- Research delivery - Proving/dis-proving strategies in offline data or in simulation- Production studies - Insights from production data or ad-hoc experimentation- Prototype implementation - Building key parts of algorithms or model prototypesA day in the lifeOn a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your research projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will consult with engineering teams as they incorporate your models and analyses into system and process designs.Amazon offers a full range of benefits that support 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) PlanIf 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 teamOur multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including:* Planning and coordinating the paths of thousands of robots* Dynamic allocation and scheduling of tasks to thousands of robots* Learning how to adapt system behavior to varying operating conditions* Co-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience analyzing both experimental and observational data sets- Knowledge of R, MATLAB, Python or similar scripting language- Experience in planning and optimization ...

Amazon Advertising is one of Amazon's fastest growing businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Creative X team within Amazon Advertising time aims to democratize access to high-quality creatives (images, videos) by building AI-driven solutions for advertisers. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), computer vision (CV), reinforced learning (RL), and image + video and audio synthesis.You will be part of a close-knit team of applied scientists and product managers who are highly collaborative and at the top of their respective fields. We are looking for talented Applied Scientists who are adept at a variety of skills, especially with computer vision, latent diffusion or related foundational models that will accelerate our plans to generate high-quality creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team. As an Applied Scientist on this team, you will:* Drive end-to-end GenAI projects that have a high degree of ambiguity, scale and complexity.* Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Identify and action data collection and labelling in conjunction with team members.* Research new and innovative machine learning approaches.* Present results and explain methods to senior leadership.Why you will love this opportunityAmazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Key job responsibilitiesThis role is focused on computer vision, latent diffusion models, and the related foundational models to produce generative imagery and videos. You will develop core models that will be the foundational of the core advertising-facing tools that we are launching. You will conduct literature reviews to stay on the cutting edge of the field. You will regularly engage with product managers, who will partner with you to productize your work. A day in the lifeOn a day-to-day basis, you will be doing your independent research and work to develop models, you will participate in sprint planning, collaborative sessions with your peers, and demo new models and share results with peers, other partner teams and leadership.About the teamThe team consists of applied scientists and machine learning engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.BASIC QUALIFICATIONS- 3+ years of building ML models- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience- Experience programming in Python or C++ or a related language- Experience with GenAI model training and tuning ...

Are you excited about AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles.This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We are looking for a Software Development Engineer who wants to apply and grow their technical depth and breadth while defining and driving key aspects of application of AI at scale. If you are a self-motivated individual with a zeal for customer obsession and ownership, and you are looking to demonstrate your technical and functional skills - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon offers a full range of benefits that support 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 Coverage2. Maternity and Parental Leave Options3. 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 teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.BASIC QUALIFICATIONS- 3+ 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- Experience with AWS cloud infrastructure for training models and setting up annotation pipelines ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a cutting-edge product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Scientist to join our Applied AI team to work on LLM-based solutions. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Key job responsibilitiesYou will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. A day in the lifeOn our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. BASIC QUALIFICATIONS 7+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with large language models and their architectures, and deep learning ...

Amazon is hiring a Principal Applied Scientist (PAS) to join the Search and Conversational Shopping AI team. In this role, you will be responsible for the architectural design and technological advancements of the customer experience of Amazon Rufus, our next-generation, AI-driven search and shopping assistant. This innovative role focuses on developing innovative search and shopping experiences, utilizing large language models, generative AI, and advanced machine learning technologies.Key job responsibilitiesAs a Principal Applied Scientist in Search, you will possess deep expertise in machine learning and data science, with specializations in information retrieval, recommendations, ranking, large language models, and generative AI across various modalities. The role involves solution alignment across multiple partners, such as front-end, relevance, ranking, and personalization teams. You will collaborate with teams of scientists and engineers to translate business and functional requirements into concrete deliverables, leading strategic efforts to enhance upper funnel search customer experiences. You will design integrated solutions efficiently delivered across all contributing stakeholder teams, driving alignment among these tech teams in the short term and influencing their future roadmaps in the long term to support our experimentation roadmap. Responsible for overall solution quality, this role will focus on improving experimentation velocity and, in the future, facilitating partner development on upper funnel customer experiences. This role ensures we are building scalable solutions with smart checks on data quality centrally, navigating the ambiguity inherent in this new area. You will make critical judgements to select the best technical solutions for both short and long-term experimentation objectives, bringing clarity from ambiguity, structuring tradeoff decisions, and effectively communicating on technically contentious topics. Finally, you will engage with academic partners to augment our in-house talent with access to the latest research and expert mentoring.About the teamThe vision of the Search and Conversational Shopping AI Team is to revolutionize the search and shopping experience through technological innovations in advanced AI and machine learning. We focus on enhancing query understanding, navigational and upper funnel search, developing LLM-based AI assistants, and more. Our goal is to create intuitive, personalized search interfaces that seamlessly connect customers with products, enhancing satisfaction, engagement, and transforming e-commerce interactions.BASIC QUALIFICATIONS1. Graduate degree in Computer Science, Math, or a related field.2. Experience in developing AI, ML, and NLP systems, with a proven ability to deliver projects successfully.3. Skilled in managing large, cross-functional projects with evolving requirements from start to finish.4. Strong foundations in data structures, algorithm design, and complexity analysis.5. Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.6. Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.7. Record of peer-reviewed scientific publications in applied science. ...

Amazon Robotics is seeking a Principal Applied Scientist to develop state-of-the-art algorithms to control the fleet of 750,000 mobile robots in Amazon’s order fulfillment network. You will have the chance to solve complex planning and coordination problems and see your solutions come to life in Amazon’s warehouses!In this position, you will own the science of planning and scheduling fleet activities to achieve system-level objectives across a broad range of building types and workflows. You will improve the algorithms that control today’s global robotic fleet to unlock new opportunities for Amazon’s evolving network, as well as develop new capabilities from the ground up. You will explore how to leverage the power of our robotic mobility foundation model to predict the motion of the fleet to enable new ways of making decisions at scale. You will influence the design of future warehouses and the integration of new robotic technologies.This role offers the chance to have broad impact on the next wave of robotics You will collaborate with brilliant colleagues in a culture that values ingenuity, teamwork and delivering impact. Come join our mission to pioneer the future of automation!About the teamOur multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including:* Planning and coordinating the paths of thousands of robots* Dynamic allocation and scheduling of tasks to thousands of robots* Learning how to adapt system behavior to varying operating conditions* Co-design of robotic logistics processes and the algorithms to optimize themOur team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.BASIC QUALIFICATIONS* PhD degree in Robotics, CS or related technical field* 10+ years of relevant, broad research experience after a PhD degree* Experience programming in C++, Java, Python or related language* Experience using state of the art planning and machine learning methods* Strong publication record with contributions to leading conferences/journals ...

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 ...