Machine Learning Engineer
AFX Holding Group
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Own and expand the model portfolio
- Drive the ML engineering process from idea to production
- Define success metrics and evaluation frameworks for each model
- Productionize ML models
- Take experiments to production with real-time inference, monitoring, retraining pipelines, and phased rollouts with feature flags and guardrails
- Build and evaluate classifiers with rigorous offline and online methods
- Design feature engineering pipelines across repair orders, shop performance, fleet behavior, vehicle attributes, and cost benchmarks
- Own model evaluation including cross validation, XAI, confidence calibration, bias detection, A/B testing, and shadow mode comparison against human decisions
Requirements
- 7+ years of applied ML experience with a track record of shipping models to production
- Strong statistics and ML fundamentals
- Deep experience with tabular data, feature engineering on structured data, and messy real-world datasets
- Production ML experience
- Proficiency with ML tooling and frameworks
- SQL fluency for data exploration, feature building, and model validation
- Excellent communication and collaboration skills in a remote environment
Benefits
- Competitive pay with equity
- Medical, dental, and vision coverage
- Flexible PTO and company holidays
- Remote-friendly setup with home office support
- Learning and development budget
- Wellness stipend to support your health and well-being
- Paid parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningmodel evaluationfeature engineeringcross validationexplainable AI (XAI)confidence calibrationbias detectionA/B testingreal-time inferenceproduction ML
Soft Skills
communicationcollaboration