MLE/MLOps/Full-stack DL engineer jobs in United States
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Merge Labs · 17 hours ago

MLE/MLOps/Full-stack DL engineer

positionSan Francisco, CA
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
money$235K/yr - $270K/yr

Merge Labs is a frontier research lab focused on bridging biological and artificial intelligence through innovative brain-computer interfaces. They are seeking a Senior / Principal ML Engineer to build and manage the digital infrastructure that supports various computational workloads, enabling data scientists to enhance models across multiple domains.

BiotechnologyHuman ResourcesSoftware

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, or Slurm)
Define and own the ML engineering roadmap, mentoring other computational scientists and establishing best practices for code hygiene, testing, and reproducibility

Qualification

ML infrastructurePythonKubernetesCloud servicesPyTorchJAXRayExperiment-tracking toolsModel-management toolsSoftware engineering fundamentalsSystems-level mindsetNeuroscienceCollaborative mindset

Required

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 science—working with sparse, noisy, and or high-cost data
A collaborative, systems-level mindset

Preferred

familiarity with neuroscience

Company

Merge Labs

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Merge Labs provides a single API to connect software applications with multiple third-party platforms.
dateFounded in 2025
location
San Francisco, California, USA
people-size11-50 employees
web-link
https://merge.io/

Funding

Current Stage
Early Stage
Total Funding
$252M
Key Investors
OpenAI
2026-01-15Seed· $252M
Company data provided by crunchbase