MLOps Research Engineer
Merge Labs1 month ago
Base Salary
$200k - $235k/yr
Responsibilities
- Build scientific and engineering infrastructure for active learning and closed-loop optimization, including data ETL, ML modeling, and library design.
- Collaborate with computational scientists to define 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 and resource orchestration using Kubernetes, Ray, and Dagster.
- Own the ML engineering roadmap, mentor computational scientists, and establish best practices for code hygiene, testing, and reproducibility.
Requirements
- Deep experience in ML infrastructure, systems engineering, and production ML workflows from training through deployment and monitoring.
- Proficiency with Python, PyTorch, JAX, Ray, Kubernetes, and cloud services including AWS, GCP, or Azure.
- Deep experience with experiment-tracking and model-management tools such as MLflow and Weights & Biases.
- Strong software engineering fundamentals, including version control, modular design, CI/CD, and distributed computing.
- Experience bridging machine learning and experimental science, including work with sparse, noisy, or high-cost data.
- Familiarity with neuroscience is preferred.
Tech Stack
Categories
About Merge Labs
Merge Labs is a privately held research lab developing high-bandwidth brain-computer interfaces that integrate with advanced AI to augment human capability. It builds experimental platforms and automated pipelines across molecular engineering, synthetic biology, neuroscience, advanced microscopy, sequencing, and mammalian cell culture to accelerate BCI R&D. Founded in 2025, the company focuses on safe, accessible neurotechnology rather than commercial products today.