HHiring Reality
← Block

Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

Block
Location
Bay Area, CA, United States of America
Posted
17 days ago
Department
10109 Risk - Risk ML & DS
What they actually want (must-haves)
  • 12+ years building and operating production software and ML systems for business-critical products
  • Deep expertise in intelligent systems such as ranking/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
  • Ability to evaluate impact beyond short-term conversion, including trust, fairness, access, risk, compliance, and long-term engagement
  • Experience using AI-assisted engineering tools with appropriate verification, testing, and review for customer-impacting systems
Nice to have
  • Experience with semantic retrieval, embeddings, two-tower models, graph features, LLM-powered retrieval or decision systems, entity resolution, or real-time personalization
  • Experience with experimentation, online evaluation, interleaving, counterfactual evaluation, multi-objective optimization, or long-term holdouts
  • Experience building reusable feature/signal platforms, decision services, customer intelligence layers, model-derived data products, or agent-assisted operations
What the job really is

As a Staff Applied Machine Learning Engineer, you will focus on building and operating production ML systems that convert customer and product context into actionable signals for various applications such as recommendations and risk-aware decision-making. The role involves designing data contracts, managing end-to-end systems for ranking and retrieval, and collaborating with cross-functional teams to translate goals into measurable ML designs. You will also leverage AI tools to enhance development and operations.

Benefits
  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
Things to weigh
  • No specific technologies required, but strong production engineering fundamentals are expected
  • Salary range provided is broad and varies by location, with no specific figure mentioned for the role
  • Role involves significant collaboration across multiple teams, which may imply a need for strong interpersonal skills
Job score3/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

Applying to Block?

See how your résumé matches this role — and tailor it from what actually gets interviews.