Research Engineer, Performance RL (Reinforcement Learning)

The shape of it

In the posting’s own words

We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators.

What it asks for · 4

• Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch).
• Have worked across the stack – kernels, model code, distributed systems.
• Know how to balance research exploration with engineering implementation.
• Are passionate about AI's potential and committed to developing safe and beneficial systems.

Also a plus

• Experience with reinforcement learning.
• Experience porting ML workloads between different types of accelerators.
• Familiarity with LLM training methodologies.

Tools and skills named

Words the posting leans on

• accelerators6×
• research5×
• code4×
• engineering4×
• experience4×
• model4×
• systems4×
• training4×
• accelerators cuda2×
• accelerators familiarity2×
• balance research2×
• beneficial systems2×
• code distributed2×
• committed developing2×
• conduct experiments2×
• cuda rocm2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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