ML Engineer – Data Scientist
Hilbert's AI
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- Build and deploy ML models and pipelines
- Contribute to multi-tenant model architectures
- Owning models through to production
- Design and run rigorous A/B tests
- Translate customer context into modeling decisions
- Present results to senior stakeholders
- Hold the line on rigor
- Thrive in ambiguity
Requirements
- ML engineer who ships to production
- Clean, testable Python
- Understanding of B2C business problems
- Building recommendation systems
- Experience with multi-tenant ML systems
- Strong B2C business knowledge
- Causal reasoning and inference knowledge
Benefits
- Competitive salary + equity
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ML modelspipelinesPythonrecommendation systemsmulti-tenant ML systemsA/B testingcausal reasoningcausal inference
Soft Skills
communicationpresentationrigoradaptability