Applied Scientist, AWS Developer Tools Science

Amazon Science; Berlin; Vor Ort; EUR 90.000 - 150.000; Vollzeit

Zusammenfassung

Amazon Science in Berlin seeks an Applied Scientist to build LLM-based services for developers and to enhance the cloud developer experience. You will work on open-source benchmarks and collaborate with AWS teams to deliver production-ready ML solutions and evaluation tools.

You will design, implement, and evaluate ML models, collaborating with software engineers and researchers, and publishing findings. A PhD or Master’s in CS/ML with strong Python/Java/C++ skills is required.

Qualifikationen

• PhD or Master’s degree in CS/CE/ML or related field.
• Experience building models for business applications.
• Experience in patents or publications at top-tier conferences/journals.
• Programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, optimization, data mining, parallel and distributed computing.
• Experience with state-of-the-art deep learning model architectures and training/optimization.

Aufgaben

• Use Python and open-source libraries to develop/improve LLMs, AI agents and agentic tools for business apps.
• Build benchmarks to measure AI agents on AWS workloads and identify improvement areas; document tools or instructions to improve interactions with AWS.
• Own the technical quality of a product where modeling improvements drive value for scientists and engineers.
• Understand challenges developers face when building cloud-based solutions and develop generalizable solutions.
• Collaborate with developers and push toward production, participating in cross-team projects and resolving blockers.
• Document research through internal docs, talks/demos and publishing papers in external venues.

Kenntnisse

Java

C++

Python

ML experience

Publications

Algorithms

Distributed computing

Ausbildung

PhD in CS/CE/ML

MS/MA in CS/EE

Tools

Unix/Linux

Jobbeschreibung

Description

We are looking for a 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 the AWS IDE Toolkit, AWS Bedrock, AWS MCPs and Agent Toolkit and develops aws-bench Open Source agent benchmark. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.

Description

We are looking for a 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 the AWS IDE Toolkit, AWS Bedrock, AWS MCPs and Agent Toolkit and develops aws-bench Open Source agent benchmark. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you. As a 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 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 actively participate in mindful discussions with customers, engineers, and scientist peers, and define the right modeling and component design approach and implement ML solutions 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, AI agents and agentic tools for business applications
• Build benchmarks that measure AI agents performance on AWS workloads and idenitifes improvement areas and build documentation, instructions or tools to improve how agents interact with AWS.
• 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.

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 start-ups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fuelled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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) Developer Tools Science 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 build AWS-specific benchmarks, 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.

Basic Qualifications

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in building models for business application
• 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
• Experience in state-of-the-­art deep learning models architecture design and deep learning training and optimization and model pruning

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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