MLOps Research Engineer for Brain-Computer AI

Merge Labs; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Merge Labs is hiring a Research Engineer to build and own the digital infrastructure that supports diverse computational workloads. You will 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.

This horizontal role empowers analysts to move faster with rigor and less friction, architecting production-grade

Qualifications

• Deep experience building ML infrastructure, scalable pipelines, and production workflows.
• Strong Python code quality, modular design, and testing practices.

Responsibilities

• Build scientific and engineering scaffolding for active-learning and closed-loop optimization, including data ETL and ML modeling.
• Collaborate with scientists to define objectives and encode priors/constraints.
• Implement model registries, evaluation frameworks, and automated reporting for benchmarking.

Skills

ML infrastructure

Python

PyTorch

JAX

Ray

Kubernetes

Cloud services

Experiment tracking

Tools

MLflow

Weights & Biases

Job description

Merge Labs is hiring a Research Engineer to build and own the digital infrastructure that supports diverse computational workloads. You will 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.

This horizontal role empowers analysts to move faster with rigor and less friction, architecting production-grade