
Robotics Research Scientist
4 days ago
We are seeking a Research Scientist who brings both scientific curiosity and engineering rigor. You’ll work at the heart of the ML research pipeline—training advanced models and shaping the underlying training codebase and infrastructure.
This role suits someone passionate about reliable, scalable experimentation, large-model training, and tight integration with MLOps and systems engineering.
**Key Responsibilities**:
- Develop and maintain high-performance training pipelines for deep learning research
- Tune and debug large model training runs across clusters and GPU environments
- Work closely with systems engineers to ensure infrastructure supports rapid experimentation
- Collaborate with other research scientists to evolve architecture and optimization techniques
- Help establish best practices for model reproducibility, logging, and deployment readiness
**Requirements**:
- Experience in training ML models at scale using frameworks like **PyTorch**or **JAX**:
- Proficiency in Python and familiarity with deep learning optimization internals
- Understanding of GPU compute fundamentals and training-performance bottlenecks
- Commitment to clean, maintainable, and reproducible research code
**Bonus Points For**:
- Experience with TorchScript, ONNX, or custom inference runtimes
- Contributions to open-source ML tooling (e.g., PyTorch, Lightning, Hugging Face)
- Hands-on exposure to transformer models, diffusion models, or large-scale vision/NLP tasks
- Familiarity with SLURM, cluster scheduling, or multi-GPU orchestration
- Previous collaboration with MLOps or systems engineering teams
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