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

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

Job ID: 2913130 | Amazon Web Services Development Center Germany GmbH

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

1. Use Python and various open source libraries to develop and/or improve LLMs for business applications
2. Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
3. Understand the challenges that developers face when building cloud-based solutions, and develop generalizable solutions.
4. 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.
5. Communicate and document your research by writing internal documents, giving talks/demos, and striving to publish papers in external scientific venues.
6. Serve as a technical lead for your project and a small team of scientists and engineers

BASIC QUALIFICATIONS

1. PhD in Machine Learning, Computer Science, Mathematics, Physics, Statistics or any other field with quantitative focus
2. Several years experience building machine learning models for business applications using Java, C++, Python or related language
3. Experience with patents or publications at top-tier peer-reviewed conferences or journals
4. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
5. Experience with deep learning frameworks such as PyTorch and Hugging Face

PREFERRED QUALIFICATIONS

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

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 this link for more information.

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.