Applied Scientist, Learned Systems Group

Amazon Web Services Development Center Germany GmbH; München; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative and forward-thinking company is seeking passionate PhD candidates or graduates to join their team as Applied Scientists. This role offers the opportunity to work on cutting-edge machine learning and AI projects, tackling complex challenges in database systems. You'll collaborate with top engineers and scientists, contributing to the development of state-of-the-art solutions that enhance efficiency and usability. The company fosters an inclusive culture that values diverse experiences, ensuring that every team member can thrive. If you're ready to make a significant impact in the tech industry, this is the perfect opportunity for you.

Leistungen

Flexible Work Hours

Mentorship Programs

Employee-led Affinity Groups

Work-Life Balance Initiatives

Career Advancement Resources

Qualifikationen

• PhD candidates or graduates in quantitative fields are encouraged to apply.
• Experience in patents or publications at top-tier conferences is a plus.
• Programming experience in Java, C++, or Python is required.

Aufgaben

• Design and develop end-to-end AWS database experiences using C++ and Python.
• Write technical white papers and create technical roadmaps.
• Work with diverse teams to solve complex business problems.

Kenntnisse

Machine Learning

Deep Learning

C++

Python

Algorithms and Data Structures

Numerical Optimization

Data Mining

Parallel Computing

Distributed Computing

High-Performance Computing

Ausbildung

PhD in Engineering

PhD in Computer Science

PhD in Machine Learning

PhD in Robotics

Tools

Java

C++

Python

Jobbeschreibung

Are you a PhD candidate or graduate interested in a 2025 full-time role in the field of Applied Sciences? Are you interested in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? If so, we want to hear from you! We are looking for scientists with an interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

AWS is looking for world class scientists to join The Learned Systems Group to broadly apply machine learning and foundational models to database system problems. Within the Learned Systems Group you will invent, implement, and deploy state of machine learning techniques to make our data systems easier to use or to improve its efficiency. Potential projects include but are not limited to Amazon Q Generative SQL (Text2SQL and other interactive ways to work with structured data in natural language), AI-driven cluster scaling techniques, cluster pool optimization, or autonomics (e.g., learning-enhanced storage layouts, intelligent scheduling and admission control, MV selection). You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and scientists.

Key job responsibilities

As an Applied Scientist, you will own the design and development of end-to-end AWS database experiences (using mostly C++ and Python). You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

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.

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

We are focused on innovative ML for systems initiatives in the database area; for a list of publications please take a look at

BASIC QUALIFICATIONS

• Are enrolled in or have completed a PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 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 with relational database internals (i.e. query execution, scheduling, performance optimization)

PREFERRED QUALIFICATIONS

• Experience in professional software development
• Experience building machine learning models or developing algorithms for business application