onsite
Machine Learning Scientist - Relace
ML Engineer
Lead research on advanced machine learning models and infrastructure for coding agents, leveraging Python, deep learning, NLP, and reinforcement learning on cloud platforms to deliver scalable, high‑performance solutions.
About the role
Key Responsibilities
- Design, develop, and evaluate cutting‑edge ML models for code generation and analysis.
- Build and maintain scalable infrastructure on AWS/GCP to support training and inference workloads.
- Collaborate with cross‑functional teams to integrate models into production pipelines.
- Conduct rigorous experimentation, benchmark results, and publish findings.
- Mentor junior researchers and contribute to open‑source initiatives.
Requirements
- PhD or equivalent experience in Machine Learning, NLP, or related fields.
- Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and cloud services.
- Strong background in reinforcement learning and large‑scale model training.
- Experience with Docker, CI/CD, and version control (Git).
- Excellent communication skills and a passion for research.
Skills
pythonmachine learningdeep learningnatural language processingreinforcement learningdocker