Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Merge is building the next generation of brain-computer interfaces by combining advances in synthetic biology, neuroscience, AI, and non-invasive imaging. We are seeking a Research Engineer to build and own the digital infrastructure supporting diverse computational workloads, designing frameworks for training, inference, experiment tracking, and deployment to accelerate model iteration and translate research prototypes to production.

Responsibilities

Build 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 and resource orchestration (Kubernetes, Ray, Dagster).
Define and own the ML engineering roadmap, mentoring other computational scientists and establishing best practices for code hygiene, testing, and reproducibility.

Requirements

Deep experience in ML infrastructure, systems engineering, and production ML workflows (training → deployment → monitoring).
Deep experience with experiment-tracking and model-management tools (MLflow, Weights & Biases).
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.
Familiarity with neuroscience (nice to have).

Skills

Python
PyTorch
JAX
Ray
Kubernetes
AWS
GCP
Azure
MLflow
Weights & Biases
CI/CD
Distributed computing

Location

Remote

Work Type

Full-time

Experience Level

Mid-level
Senior

About the Company

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

Equal Opportunity

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 accommodations@merge.io.