ML Research Scientist

About the Company

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.

Responsibilities

• Build scientific and engineering scaffolding for de novo design and closed-loop optimization
• Collaborate with wet-lab scientists to define optimization objectives and encode domain specific priors
• Prototype de novo design frameworks using internal and public datasets
• Integrate ML models with experimental data streams
• Extend ML frameworks to handle multi-objective or constrained optimization problems
• Stay up-to-date with latest research and prototype novel algorithms
• Contribute to the long-term research roadmap

Requirements

• Strong grounding in SSMs, LLMs, SE(3)-equivariance, and Flow-matching
• Working knowledge of transfer-learning strategies
• Proficiency in Python, PyTorch, or Jax
• Experience writing clean, reproducible production grade code
• Experience bridging machine learning and experimental science with sparse or noisy data
• Collaborative, systems-level mindset

Preferred Qualifications

• Familiarity with neuroscience