MLOps Research Engineer
Merge Labs3 months ago
Base Salary
$200k - $265k/yr
Responsibilities
- Build scientific and engineering infrastructure for active learning, closed-loop optimization, data ETL, ML modeling, and library design.
- Collaborate with computational scientists to define optimization objectives, domain-specific priors, and constraints.
- Implement model registries, evaluation frameworks, automated reporting, and experiment-comparison systems.
- 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 spanning training, 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 working with sparse, noisy, or high-cost data and bridging machine learning with experimental science.
- Familiarity with neuroscience is a plus.
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.