Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Block · Bay Area, CA, United States of America
Posted 13 days ago
or apply directly on Block's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Block's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 22% of Block's roles list one
- Ghost-job risk at Block
- low 0 stale, 7 reposted of 208 open
- Hiring momentum
- 298 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Block's own greenhouse board since 2026-08-03. Full hiring picture for Block.
About this role
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
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Block as an employer.
What you need
- 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 you get
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Worth weighing
- 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
Summarised from Block's posting. Read the full original.
Listed by Block on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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