MLOps Research Engineer

Merge Labs is a frontier research lab developing brain-computer interfaces that combine biology and artificial intelligence to maximize human ability, agency and experience. The role builds and owns digital infrastructure for computational workloads, including distributed training and inference, experiment tracking, deployment frameworks, scientific optimization, and production-grade ML systems.

Responsibilities:

• Build the scientific and engineering scaffolding for active-learning and closed-loop optimization, including data ETL, ML modeling, and library design
• Collaborate with computational scientists to define tractable optimization objectives and encode domain specific priors and constraints
• Implement model registries, evaluation frameworks, and automated reporting for benchmarking and experiment comparison
• Define CI/CD pipelines, resource orchestration (Kubernetes, Ray, Dagster)
• Define and own the ML engineering roadmap, mentoring other computational scientists and establishing best practices for code hygiene, testing, and reproducibility