Sr. Applied Scientist, New Generation Developer Experience (NGDE)

- PhD in Machine Learning, Computer Science, Mathematics, Physics, Statistics or any other field with quantitative focus
- Several years experience building machine learning models for business applications using Java, C++, Python or related language
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- 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 deep learning frameworks such as PyTorch and Hugging Face


- Experience in professional software development
- Experience with generative AI techniques, such as retrieval augmented generation, LLM fine-tuning, or hyperparameter tuning

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We are looking for a Sr. Applied Scientist who is passionate about building services and tools for developers that leverage generative artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.

As a Senior Applied Scientist, you love designing, implementing, and evaluating machine learning solutions to difficult applied problems, and diving into complex data sources crawled from the web or internal logging tools. You are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You actively participate in mindful discussions with customers, engineers, and scientist peers, and define the right modeling and component design approach to achieve the desired customer experience and scientific and business outcomes.

Key job responsibilities
- Use Python and various open source libraries to develop and/or improve LLMs for business applications
- Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
- Understand the challenges that developers face when building cloud-based solutions, and develop generalizable solutions.
- Collaborate with developers and pave the way towards bringing your solution into production systems. Participate in cross team projects and ensure technical blockers are resolved.
- Communicate and document your research by writing internal documents, giving talks/demos, and striving to publish papers in external scientific venues.
- Serve as a technical lead for your project and a small team of scientists and engineers

A day in the life
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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

About AWS

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.

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 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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

About the team
The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to web-based tools and services, AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.

If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.