Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts millions of people? Answer yes to any of these and you’ll fit right in here at Amazon, where you'll apply cutting-edge advances in artificial intelligence, computer vision, machine learning, and robotics to solve real-world challenges that transform customer experiences. You'll collaborate with a team of skilled problem-solvers who are passionate about pushing the frontier of intelligent systems and delivering innovative solutions at scale. We are looking for skilled individuals with a strong bias for action and deep technical knowledge to join our team in Tübingen.
As part of Amazon Devices & Services, you'll engage with novel innovative devices and complex, large-scale problems that require both technical depth and creative thinking. Your work will span across computer vision, machine learning, robotics, and AI applications. You'll find yourself navigating ambiguity, collaborating with colleagues across disciplines, and contributing to projects that shape the future of intelligent systems. Beyond your core technical work, you'll participate in cross-functional discussions, share insights with your team, and help establish best practices.
We are a collaborative team of doers committed to researching and developing intelligent systems that matter. Our vision is to pioneer the application of AI, computer vision, machine learning, and robotics to create meaningful customer impact. You'll work alongside colleagues who are equally passionate about solving hard problems and thrive in a startup-like environment where your contributions directly influence our direction. Together, we're building something extraordinary in one of the world's most exciting hubs for intelligent systems research.
Key job responsibilities
- Develop and implement solutions using artificial intelligence, computer vision, machine learning, and robotics technologies to address complex customer challenges
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and comparative quantitative evaluation
- Specifying, designing, and implementing functionality and behaviors of robotic and autonomous systems
- Collaborate with cross-functional teams to design, prototype, and refine intelligent systems that operate at scale
- Contribute technical expertise and insights to drive innovation and establish best practices
- Navigate ambiguity by working through undefined problems, gathering requirements, and proposing solutions in a dynamic environment
- Support the growth and success of the team through knowledge sharing, mentorship, and open communication
A day in the life
You'll be working on new features, new products, new hardware, solving difficult customer centric issues and pushing the boundaries of state-of-the-art technology!
About the team
The team is responsible for delivering new category-defining innovative products and features to the market, an exciting roadmap lies ahead with a large team around you that can support and inspire.
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
