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Prime Intellect
Global
Python
PyTorch
VLLM
Research Engineer / Scientist - Reinforcement Learning
Prime Intellect
Global
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Research Engineer - Pretraining
Prime Intellect
Global
Python
PyTorch
Distributed Training
Research Scientist
Pluralis Research
Global
PyTorch
Distributed Training
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ML Engineer
Noetik
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Kubernetes
Responsibilities:
- Optimize large-scale RL and distributed training systems.
- Improve training efficiency across compute, memory, networking, and scheduling.
- Design low-level performance optimizations like kernels and runtime.
Requirements:
- Strong systems engineering in AI/ML infrastructure.
- Deep PyTorch and distributed training framework expertise.
- Experience with GPU architecture, profiling, and performance debugging.
Benefits:
- $150-350k cash compensation with equity.
- Flexible work arrangements and SF office option.
- Visa sponsorship and relocation assistance.
Prime Intellect
Prime Intellect builds the open superintelligence stack, providing full-stack infrastructure for frontier-scale AI post-training and deployment. The company has raised $150M from top investors and is mission-driven, focused on open-source AI and accelerating science.