Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Related skills
sql python tensorflow pytorch retrieval📋 Description
- Build production ML systems turning context into signals, rankings, and recommendations.
- Design data and signal contracts: freshness, provenance, confidence, calibration.
- Own end-to-end ranking, retrieval, search, propensity, and next-best-action systems.
- Evaluate impact beyond short-term conversions: trust, fairness, risk, engagement.
- Partner across product, data, risk, and compliance to translate goals into ML designs.
- Use AI-assisted tools to accelerate development, testing, and ops.
🎯 Requirements
- 12+ years building and operating production software and ML systems.
- Expertise in ranking/retrieval, recommendations, search, personalization, churn/LTV, and next-best-action.
- Strong ML judgment across feature pipelines, serving, experimentation, monitoring, and signals.
- Ability to assess impact beyond short-term conversion: trust, fairness, risk.
- Experience using AI-assisted tools with verification and testing for customer-impacting systems.
🎁 Benefits
- Remote work options.
- Medical insurance.
- Flexible time off.
- Retirement savings plans.
- Career growth and inclusive culture.
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