3 months ago
Base Salary
$277k - $415k/yr
Responsibilities
- Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities.
- Design production data and signal contracts covering intended use, freshness, provenance, confidence, eligibility, and calibration.
- Own ranking, retrieval, recommendation, search, propensity, and next-best-action systems end to end, including feature and candidate generation, serving, experimentation, monitoring, and feedback loops.
- Evaluate customer and business impact across trust, fairness, access, risk, compliance, long-term engagement, and segment-level performance.
- Partner with product, growth, data, platform, modeling, risk, and compliance teams to translate ambiguous goals into measurable ML system designs.
- Use AI and agents to accelerate development, analysis, testing, documentation, and operations while exposing reusable capabilities to services, internal tools, and AI-assisted workflows.
Requirements
- 12+ years building and operating production software and machine learning systems for business-critical products.
- Deep expertise in ranking and retrieval, recommendations, search, personalization, growth and lifecycle ML, customer intelligence, propensity/churn/LTV, next-best-action, or model-derived risk signals.
- Strong production ML judgment across feature pipelines, model serving, experimentation, monitoring, feedback loops, online/offline consistency, and reliable signal interfaces.
- Experience evaluating impact beyond short-term conversion, including trust, fairness, access, risk, compliance, and long-term engagement.
- Experience using AI-assisted engineering tools with verification, testing, and review for customer-impacting systems.
- Preferred experience with semantic retrieval, embeddings, two-tower models, graph features, LLM-powered retrieval or decision systems, entity resolution, or real-time personalization.
- Preferred experience with experimentation, online evaluation, interleaving, counterfactual evaluation, multi-objective optimization, or long-term holdouts.
- Preferred experience building reusable feature or signal platforms, decision services, customer intelligence layers, model-derived data products, or agent-assisted operations.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning benefits
Categories
About Block
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.