Senior Applied Scientist, Next Generation Developer Experience

Job ID: 2816851 | Amazon Web Services Development Center Germany GmbH

We are looking for a Senior Applied Scientist who is passionate about building services and tools for developers that leverage 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 Sr. Applied Scientist, 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 drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and scientific and business outcomes.

Key job responsibilities

1. Understand the challenges that developers face when building software today, and develop generalizable solutions.
2. Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved.
3. Communicate and document your research via publishing papers in internal and external scientific venues.

A day in the life at AWS includes diverse experiences and opportunities for mentorship and career growth. We value work-life harmony and strive for flexibility as part of our working culture.

BASIC QUALIFICATIONS

1. PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related quantitative field and strong knowledge of machine learning.
2. 6+ years of relevant experience in industry and/or academia.
3. 1+ years of experience with a programming language (C++, Java, or similar) and one scripting language (Perl, Python, or similar).
4. 1+ years supervised and unsupervised ML approaches and techniques ranging from Regression to Deep Neural Networks.
5. 1+ years of successfully applying ML-based solutions to complex problems in business, science, or engineering.
6. 1+ years experience with fast prototyping and working effectively with software engineering teams.

PREFERRED QUALIFICATIONS

1. Publications at top-tier peer-reviewed conferences or journals.
2. Depth and breadth in state-of-the-art computer vision, machine learning and natural language processing technologies.
3. Good written and spoken communication skills.
4. Experience with modern methods for parallelized processing of large, distributed datasets (e.g. Spark, Hadoop, Map-Reduce).

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.