Staff Machine Learning Engineer, Risk Signals & Controls
The risk signals and controls team’s mission is to power Block’s risk decisions with trusted signals and lean, effective models built on evolving data. We do that by building efficient tools and workflows to accelerate fraud detection and modeling effectiveness, evaluating thousands of transactions per second in real time. We closely collaborate with ML modelers and software engineers across Block to optimize the signal lifecycle, improving signal quality, reducing noise, and accelerating time-to-insight. We are excited to explore new directions with the team to continue pushing the boundaries of what’s possible.
You Will
- Design, build, and maintain data pipelines to ingest third‑party and Block data to enhance our feature store and modeling capabilities.
- Design elegant ML pipelines and services, prototype new approaches, and productionize solutions at scale.
- Build tooling to help maintain our features and models, gaining efficiencies in fraud detection.
- Work hand‑in‑hand with ML modelers to identify and integrate new data sources, heuristics and models.
- Solve challenging technical problems at scale, collaborating with colleagues located across the globe.
- Apply ML and engineering best practices to shape how Block develops, tests, and maintains ML‑platform solutions.
- Ensure data quality and completeness through automated validation, monitoring, and alerting.
- Own your solutions from design through to operation.
You Have
12+ years of experience in software development and demonstrated technical initiative and leadership on previous machine‑learning projects.A proven ability to shape how teams effectively adopt and evolve AI practices; driving adoption of AI‑first workflows by coaching leaders, identifying scalable use cases, and embedding quality and accountability in team norms.Work autonomously in a fast‑paced, ambiguous and unpredictable environment.Natural curiosity & eagerness to learn.Show the ability to take initiative, lead, and drive creative solutions in cross‑team contexts.A strong interest in owning your solutions, maintaining and fixing them as necessary.Communicate via clear and concise writing to facilitate asynchronous collaboration across multiple time zones.Reason about complex, distributed systems at high scale.Proficiency in machine‑learning techniques, experimental design and data engineering.Strong programming skills in languages such as Kotlin, Python, TensorFlow, or PyTorch.Technologies We Use and Teach
Python, Java and KotlinHTTP, JSON, gRPC, Protocol BuffersAWS, Databricks, and KubernetesMySQL, DynamoDB, Kafka, SparkPrefect, AirflowFull‑time Employee Benefits Include The Following
Healthcare coverage (medical, vision and dental insurance)Health Savings Account and Flexible Spending AccountRetirement plans including company matchEmployee Stock Purchase ProgramWellness programs, including access to mental health, 1 : 1 financial planners, and a monthly wellness allowancePaid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked, max 80 hours per calendar year to the extent legally permissible for non‑exempt employees and covered by our Flexible Time Off policy for exempt employees)Learning and development resourcesPaid life insurance, AD&D, and disability benefitsBlock is a proud equal‑opportunity employer. We evaluate all employees and applicants consistently, based solely on the core competencies required for the role, and without regard to any legally protected class. We strive to create an inclusive interview experience and provide reasonable accommodations for disabled applicants. Inclusion & Diversity page.
Salary ranges : United States $100,000–$720,000. San Francisco, CA $132,700–$196,600. Eligible for equity plan subject to terms. Zone A, B, C, D : $276,800–$415,200.
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions.
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