Careers
Machine Learning Engineer
About the role
You'll own ML systems end to end — from data and feature pipelines through training, deployment, and the monitoring that catches drift before it becomes a production incident.
What you'll do
- Build and maintain feature and training pipelines
- Deploy and monitor models serving production traffic
- Build evaluation infrastructure that gates model releases
- Partner with engineering on inference performance and cost
What we're looking for
- 4+ years of experience building and deploying production ML systems
- Strong Python fundamentals and experience with PyTorch
- Experience with model monitoring and drift detection
Nice to have
- Experience with MLflow or comparable experiment tracking
- Experience with Ray or distributed training
How we work
Understand
Identify the business problem, system constraints, data environment, and measurable outcome.
Architect
Define system boundaries, model strategy, retrieval design, data architecture, and production constraints.
Build
Implement production systems directly with client product and engineering teams.
Operate
Evaluate, observe, improve, and harden systems after launch.
Compensation
- Equity
- Health, dental, and vision coverage
- Flexible PTO
- Remote-first
Equal opportunity
We are an equal opportunity employer and evaluate all candidates without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected status.
- Remote — United States
- Machine Learning
- Full-time
- $160K–$200K