Tech Lead Manager- MLRE, ML Systems
Leads development and optimization of distributed frameworks for LLM post-training, training, and inference. Collaborates with ML teams to enable advanced model development and data curation, requiring expertise in large-scale ML systems and tools like PyTorch and CUDA.
About the job
You will:
- Build, profile and optimize our training and inference framework.
- Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
- Research and integrate state-of-the-art technologies to optimize our ML system.
Ideally you’d have:
- Passionate about system optimization
- Experience with multi-node LLM training and inference
- Experience with developing large-scale distributed ML systems
- Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.
- Strong written and verbal communication skills to operate in a cross functional team environment.
Nice to haves:
- Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
Skills
PyTorch, CUDA, Transformers, Flash Attention, RLHF, Ppo, Distributed Ml Systems, Llm Training, Llm Inference, Kubernetes
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