Senior RL Training Infrastructure Engineer (TPU/JAX)

Apple, Inc.; Zürich; On-site; CHF 120,000 - 150,000; Full time

Benefits offered by this job

Flexible working hours

Health and wellness benefits

Diversity and inclusion programs

Job summary

Apple is looking for a skilled engineer to join its Core Foundation Models team in Zürich. The role involves designing and optimizing large-scale ML training infrastructure, particularly focusing on reinforcement learning with TPU-based systems using JAX. Candidates should have a PhD or MSc in Computer Science, solid experience with GPUs/TPUs, and a strong proficiency in PyTorch or JAX. This position is ideal for those passionate about high-performance computing and distributed systems.

Qualifications

• Hands-on experience designing and maintaining large-scale ML training infrastructure.
• Solid understanding of distributed systems concepts.
• Experience in developing or optimizing training loops and ML frameworks.

Responsibilities

• Design, build, and scale systems for large-scale reinforcement learning.
• Focus on TPU-based training with JAX.
• Ensure efficiency, reliability, and observability of training pipelines.

Skills

Designing ML training infrastructure

Optimizing distributed systems

Proficiency with PyTorch or JAX

High-performance computing

Experience with GPUs/TPUs

Software engineering in Python

Education

PhD or MSc in Computer Science or related field

Job description

Apple is looking for a skilled engineer to join its Core Foundation Models team in Zürich. The role involves designing and optimizing large-scale ML training infrastructure, particularly focusing on reinforcement learning with TPU-based systems using JAX. Candidates should have a PhD or MSc in Computer Science, solid experience with GPUs/TPUs, and a strong proficiency in PyTorch or JAX. This position is ideal for those passionate about high-performance computing and distributed systems.