Machine Learning Engineer
Location: Boston, MA
Delighted to be working with a client who are looking for Machine Learning Engineers specializing in Reinforcement Learning with Human Feedback (RLHF). Collaborate with cross-disciplinary experts in AI to build and refine cutting-edge models that drive innovation in therapeutic discovery and development.
The Role
- Develop ML driven methods to enhance reasoning, planning, and decision-making in scientific research.
- Train and fine-tune models on scientific data, including incorporating RL with LLMs for advanced capabilities.
- Design robust evaluation frameworks and custom benchmarks to test performance and reliability.
- Develop and deploy machine learning models/LLM's for biological data.
Requirements
- PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Expertise in reinforcement learning, including policy optimization, model-based RL, or multi-agent settings.
- Experience with distributed computing platforms like AWS, GCP, or Azure.
- A strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
- Familiarity with LLM training and fine-tuning methods is a plus.