Machine Learning Ops Engineer

We're hiring an Ops Engineer to own our model-release engine, data foundations, and developer experience. You’ll create a first-class platform so every ML researcher can ship faster and more reliably. We’re looking for someone who loves automating everything, designing clean data abstractions, and seeing models roll quickly to production.

Our focus isn’t on optimizing data pipelines, we need to build the right internal tools - metadata catalogs, ML flow automation, release pipelines, and friction-free data access - that let our applied research teams iterate fast. You’ll have end-to-end ownership to design the architecture, build everything, set/enforce standards, and keep our ML team running smoothly.

What You'll Do

Automate model release & rollback with one-click CI/CD from training artifact to
deployed model, complete with versioning and validation hooks.
• Maintain MLflow (or your tool of choice) for experiment tracking, model registry, and
promotion to production.
• Design a robust data catalog & metadata layer to let engineers construct the exact datasets
they need by exposing consistent APIs or tools.
• Deliver clear docs, CLI / Python SDKs, and templated repos so new hires ship models in
days, not weeks.
• Enforce strong practices across the team, spot bottlenecks early, and keep the tooling
roadmap aligned with product goals.

Who We're Looking For

• Proven ML Ops or Dev Infra experience building platforms that track, package, and ship
models in production.
• Strong AWS & IaC experience – Comfortable with AWS Networking, S3, Lambda/ECS,
CDK
• Fluency with experiment-tracking & model-registry tools like MLflow, Weights &
Biases, SageMaker, or equivalents.
• Exceptional organization & documentation habits – You keep repos, wikis, and schemas
impeccably structured so anyone can find what they need.
• Experience designing schemas and APIs that make datasets discoverable and auditable.
• Python as your first language, but you’re comfortable with C++ and lower-level
languages when it helps.
• Clear bias for automation, quickly turning manual workflows into robust pipelines and
tools.

What We Offer

• Above-market salary, equity, and benefits package. In accordance with NY regulations, the salary range for this position is $100,000-$300,000 to cover a broad range of candidate experience.

• Early Series A Equity

• Excellent health, dental, and vision coverage

• 401(k) match - up to 4% of your salary

• Unlimited PTO

• Daily office lunches in NYC

If you're excited by creating new approaches to signal processing, building automated radio frequency experimentation systems, or designing interfaces where user feedback becomes ML training data, come talk to us!