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python machine learning distributed systems data pipelines experimentation📋 Description
- Embed ML models into service workflows to improve decisions.
- Advance experimentation platforms for faster, safer iterations.
- Design and run controlled experiments to boost personalization.
- Scale model-driven decisioning with feature pipelines and real-time data.
- Define metrics and guardrails for measurable ML outcomes.
🎯 Requirements
- Bachelor's degree in CS/Engineering/Math plus 4 years exp.
- Experience delivering ML features from design to production.
- Hands-on design or contribution to live experimentation systems.
- Experience building data processing pipelines for ML decisions.
- Experience with ML-powered ranking/personalization in production.
- Familiarity with fairness, explainability, governance in ML.
🎁 Benefits
- Competitive compensation with base pay, bonus, and equity.
- Generous 401(k) matching up to $15,000/year.
- ESPP with discounted stock options.
- Medical, dental, and vision coverage.
- HSA contributions and life/disability coverage.
- PTO, sick time, holidays, parental leave, ERGs and onsite events.
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