hims & hers
Sr. Staff Machine Learning Systems Engineer
$240,000 – $265,00010+ yearsRemote
- Engineering
- Full time
- 2d ago
About the role
Hims & Hers is seeking a Senior Staff Machine Learning Systems Engineer to lead the development of trustworthy AI/ML systems within a regulated healthcare environment. You will own the end-to-end evaluation infrastructure, including data pipelines, model scoring, and red-team testing, to ensure AI models are safe and effective. This leadership role involves setting technical direction, navigating complex cross-team challenges, and establishing reusable standards for AI evaluation across the organization.
Responsibilities
- Set technical direction for evaluation systems, including metric, judge, and scorer design and statistical methodology.
- Design and scale data pipelines for ingestion, transformation, dataset versioning, and labeling.
- Lead multi-team initiatives to replace manual processes with automated, statistically sound gates.
- Develop adversarial and red-team evaluation programs to identify safety and edge-case issues.
- Drive alignment across engineering, product, and AI leadership to resolve complex technical disagreements.
- Mentor engineers and establish best practices for evaluation methodology and data pipeline design.
Required skills
- ML infrastructure
- Data engineering
- Evaluation systems
- LLM evaluation
- Statistical regression testing
- Data pipeline engineering
- Python
Nice to have
- Databricks
- MLflow
- Unity Catalog
- Reporting tools
- Regulated industry experience
Benefits
- Unlimited PTO
- Company holidays
- Quarterly mental health days
- Medical, dental, and vision insurance
- Parental leave
- Employee Stock Purchase Program
- 401k with employer matching
- Offsite team retreats
About the Company
Hims & Hers is a leading health and wellness platform on a mission to help the world feel great through the power of better health. The company is publicly traded on the NYSE under the ticker symbol HIMS and focuses on providing accessible, affordable, and personalized care.