Staff Machine Learning Engineer, Risk Signals & Controls

Block

About The Position

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 model effectiveness evaluating thousands of transactions per second in real time. We closely collaborate with ML Modellers and Software Engineers from across Block to optimize the signal lifecycle to improve signal quality, reduce noise, and accelerate time-to-insight. We're also excited to explore new directions with the team to continue pushing the boundaries of what's possible.

Requirements

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

Responsibilities

Design, build, and maintain data pipelines to ingest third parties 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: we all share the pager!

Benefits

Healthcare coverage (Medical, Vision and Dental insurance)
Health Savings Account and Flexible Spending Account
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid 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 resources
Paid Life insurance, AD&D, and disability benefits