MLEMLOpsFull-stack DL engineer

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability agency and experience. Were 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.

About the team:

Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology neuroscience AI and non-invasive imaging. To support this mission we are building a cross-functional data and software engineering group which supports the intersection of computational modeling neuroscience and biomolecular engineering. This group collaborates extensively with wet-lab scientists automation engineers and data scientists to build digital infrastructure that accelerates molecular discovery and device optimization.

About the role:

Were hiring a Senior / Principal ML Engineer to build and own the digital infrastructure that supports Merges diverse computational workloads. Youll design the distributed-training & inference experiment-tracking and deployment frameworks that enable data scientists to rapidly iterate on models spanning de-novo molecular design biophysical modeling signal processing and computer vision. Youll architect systems that translate research prototypes to production grade. This is a horizontal highly-leveraged role success means empowering every computational scientist to move faster with more rigor and less friction.

In this role you will:

• 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 or Slurm)

• Define and own the ML engineering roadmap mentoring other computational scientists and establishing best practices for code hygiene testing and reproducibility.

You might thrive in this role if you have:

• Deep experience in ML infrastructure systems engineering and production ML workflows (training deployment monitoring).

• Proficiency with Python PyTorch JAX Ray Kubernetes and cloud services (AWS / GCP / Azure).

• Deep experience with experiment-tracking and model-management tools (MLflow Weights & Biases DVC).

• Strong grounding in software engineering fundamentals version control modular design CI/CD and distributed computing

• A systems-level mindset: you think in terms of model lifecycle not just single scripts.

• Experience bridging machine learning and experimental scienceworking with sparse noisy and or high-cost data.

• A collaborative systems-level mindset:

• Nice to have: familiarity with neuroscience

If youre excited about this role but dont meet every qualification please apply. As we build were hiring for complementary strengths to form a high-impact team.

Merge Labs does not discriminate on the basis of race color religion national origin age sex sexual orientation gender gender identity gender expression marital status physical or mental disability medical condition genetic information family status ancestry citizenship U.S. military (state and federal) and veteran status or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made by emailing

Required Experience:

IC