Senior Machine Learning Engineer
Tasks
- Build and tune ML statistical and LLM models
- Build labeled fault sets and metrics
- Convert model outputs into actionable insights
- Create eval harness for regression testing
- Document work for team reuse
- Establish AI evaluation and trust
- Implement models in production
- Improve data pipeline for ingestion storage transformation analysis
- Own issue detection engine
- Partner with engineering teams on product integration
Perks/Benefits
- 401k program
- Dental & vision insurance
- Free Mental Health
- In-person collaboration
- Paid parental leave
- Paid time off
- Professional coaching
- Quarterly offsites
- Stocked pantry
- Subsidized healthcare
- Weekly happy hours
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | Data Ingestion | Data Storage | Data Transformation | Data pipeline | Forecasting | LLM Evaluation | LLM-as-judge | Language Models | Large Language Models | Machine Learning | Model Governance | Model Monitoring | Precision-recall | Production Engineering | Prompt engineering | Python | RAG | Regression testing | Retrieval-Augmented Generation | Signal Processing | Statistical modeling | Streaming Data | Time Series
Education
Regions
Countries
States
Cities
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