Machine Learning Engineer

1 month ago

Base Salary

$140k - $200k/yr

Responsibilities

Build and harden machine-learning training pipelines and package models for deployment.
Serve predictions through APIs and batch jobs with a focus on reliability.
Maintain feature pipelines and ensure features remain fresh and correct.
Monitor model drift, data quality, latency, cost, and performance.
Automate retraining and validation, design safe rollback, and prevent training-serving skew and silent degradation.
Productionize models from other teams and build interfaces between data, models, and product systems.
Implement reproducibility, versioning, and model-governance artifacts.

Strong Python and software-engineering fundamentals.
Experience with ML frameworks, data pipelines, and model serving.
Experience taking models from prototype to reliable production.
Experience with cloud infrastructure, containers, CI/CD, and orchestration.
Experience with monitoring, observability, reproducibility, and versioning across data, features, and models.
Comfort with security and privacy controls for sensitive data.
Preferred experience in backend engineering, data engineering, MLOps, or platform engineering.
Preferred experience with feature stores or feature pipelines at scale.
Familiarity with healthcare data and PHI-aware systems is preferred.

Hybrid schedule with office work Monday through Thursday and work-from-anywhere Fridays.
Work-life-balance flexibility when needed.
Free daily lunch in the office.
Meaningful pre-IPO equity.
Medical, dental, and vision plans fully paid for the employee and dependents.
Flexible PTO and 10 paid holidays per year.
401(k) with match.
Parental leave of 16 weeks for birthing parents and 8 weeks for all other parents.
HSA and FSA contributions.
Life insurance and short- and long-term disability coverage.
Annual learning stipend.

201-500 employees