Are you interested in building out a cloud-scale log analytics and search platform? Do you want to revolutionize the way people manage and derive insights from vast volumes of data in the cloud? Do you want to have direct and immediate impact on a large number of AWS users? Do you want to be part of a fast-growing AWS service and work in a fast paced startup style environment?

AWS OpenSearch Service makes it easy to deploy, operate, and scale Elasticsearch for log analytics, application monitoring, full-text search, and more. AWS OpenSearch Service is a fully managed service that delivers Elasticsearch’s easy-to-use APIs and real-time capabilities along with offering predictable performance and seamless scalability for production workloads.

At AWS, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. The AWS OpenSearch Service team is part of the rapidly growing AWS Monitoring and Observability group. We are customer obsessed in a highly collaborative team-oriented environment.

The AWS OpenSearch Service Learning team is seeking a passionate, hard-working, and talented Machine Learning Engineer to be part of a team solving challenging search and log analytics related ML problems to enhance OpenSearch search relevance and analytics experience.

You will work closely with product, research science and technical leaders throughout Amazon OpenSearch org. You will partner with software developers, product managers, and UX designers to build end-to-end open source products. You will have exposure to open source community as we deliver features and demo to our external users. You will analyze large amounts of operation data, build the models that will enable us to continually enhance OpenSearch's functions and performance.

Utility Computing (UC)
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 customers who require specialized security solutions for their cloud services.

About 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.

Diverse Experiences
AWS 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.

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 & Career Growth
We’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.




Key job responsibilities
- Design, develop and support a world-class search platform serving individuals and businesses of all sizes
- Partnership with the engineering and operations to drive modeling and design for complex business problems.
- Design and prototype to prove concepts of state of art ML algorithms.
- Participate in setting a vision and objectives for Search Services in alignment with customer needs and market opportunities
- Drive and work on algorithm and architecture design, execute and deliver results
- Invent the future of search and log analytics in the cloud
- Join a great group of motivated, top-notch, people and work with them to solve challenging problems in a fun, collaborative environment

About the team
AWS OpenSearch Learning team's charter is to bring Machine Learning technologies into OpenSearch to enhance OpenSearch's search and analytics capability. The team owns OpenSearch components like neural-search, ml-commons, anomaly-detection and etc.

- 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

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.