AIML - Senior ML/RL Training Infrastructure Engineer, AFM — Apple Retail Switzerland
- Location
- Zurich
- Contract
- full-time
- Posted
- 213 days ago
Role overview
Ready to transform how billions of people interact with technology?
Apple’s Core Foundation Models team is driving the intelligence that powers experiences across billions of devices worldwide—and we’re looking for exceptional talent to join us!
Join our Europe-based applied ML team building the next generation of large-scale ML and RL training infrastructure for Apple’s foundation models.
- Ready to transform how billions of people interact with technology?
- Apple’s Core Foundation Models team is driving the intelligence that powers experiences across billions of devices worldwide—and we’re looking for exceptional talent to join us!
Description
Ready to transform how billions of people interact with technology? Apple’s Core Foundation Models team is driving the intelligence that powers experiences across billions of devices worldwide—and we’re looking for exceptional talent to join us! Join our Europe-based applied ML team building the next generation of large-scale ML and RL training infrastructure for Apple’s foundation models. We develop high-performance, distributed systems that power cutting-edge foundation model research on a massive scale. We are seeking an engineer who is passionate about designing, optimizing, and scaling the infrastructure that enables state-of-the-art machine learning and reinforcement learning workloads. As a senior member of the team, you will work closely with researchers and systems engineers to build robust training frameworks, accelerate experimentation, and push the boundaries of performance and efficiency. You will collaborate with teams across Apple’s engineering hubs—including New York, Seattle, and Cupertino—to advance the tooling and systems that make large-scale model training possible. If you thrive at the intersection of distributed systems, ML frameworks, and high-performance computing, this is the role for you.
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