Senior Machine Learning Engineer, Risk Modeling

Block

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Work type
On-site
Location
CA
Posted
4 days ago

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Similar $223k
$171k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $194,280–$251,750.

Based on 240 similar postings.

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About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 256 open roles on FindRole.

Listed pay typically runs $207,900–$285,900 across 49 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Risk Modeling

Join Block’s Risk Machine Learning organization as a Senior or Staff Machine Learning Engineer, where you will apply machine learning at scale to prevent fraud and abuse across Cash App and Square. Your role involves partnering with cross-functional teams to design and deploy ML-driven risk solutions, owning the entire lifecycle of machine learning systems from modeling to deployment, and building tooling that enhances reliability and impact. You will also investigate emerging risks and collaborate closely with platform and engineering teams to ensure models operate effectively in real-time environments. Ideal candidates have 8+ years of experience in designing and deploying ML solutions, expertise in techniques like deep learning and reinforcement learning, and proficiency in Python (including libraries such as NumPy, Pandas, scikit-learn), PySpark, MLflow, GCP/Vertex AI, and containerization tools.

What you'll do

  • Design and deploy machine learning systems to detect and prevent fraud at scale.
  • Own the entire lifecycle of ML projects from problem definition to deployment.
  • Lead technical decision-making and influence ML strategy within workstreams.
  • Develop tooling and processes to enhance speed, reliability in ML development.
  • Investigate new risk patterns to inform proactive product safeguards and policies.
  • Collaborate with platform teams to ensure real-time, scalable model operations.

What we're looking for

  • 8+ years of industry experience in machine learning or applied AI
  • Proven track record of designing, deploying, and maintaining ML solutions in production
  • Expertise in advanced modeling techniques including deep learning and reinforcement learning
  • Experience influencing technical direction and collaborating with cross-functional teams
  • Strong communication skills and a commitment to economic empowerment
  • Proficiency in Python libraries such as NumPy, Pandas, scikit-learn, XGBoost, PyTorch, TensorFlow/Keras
  • Familiarity with cloud platforms (GCP, AWS) and data management tools (Snowflake, MySQL)

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