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.