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Senior Machine Learning Engineer, ML Platform

Block

$194,500 - $343,100
Oct 30, 2025
San Francisco Bay Area, CA, US
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Block is looking to build out the best ML infrastructure possible to support ML practitioners across the company, enabling them to develop, productionize, and observe ML models at scale. This involves improving existing platforms and developing new ones for LLM hosting, training stack re-architecture, and large-scale offline evaluations.

Requirements

  • Deep understanding of architectures for ML-backed solutions and the ML lifecycle - from data gathering, training, model evaluation, MLOps, and productionizing models (both classical ML and deep learning/LLMs).
  • Ability to produce production-quality code and services incorporating testing, evaluation, monitoring as well as the ability to quickly adapt to a new domain, hack MVP's, and iterate to improve product.
  • Experience using any of the major cloud vendors for high scale production use cases.
  • Golang, Python. TypeScript, React, Playwright
  • gRPC, Protocol Buffers
  • AWS (Sagemaker, EC2, EKS), Databricks
  • NVidia Triton, vLLM, ONNX

Responsibilities

  • Develop scalable ML/AI systems and platforms
  • Be on the cutting edge of advancements in ML/AI across the industry
  • Collaborate across diverse teams to deliver impactful platform solutions by understanding and generalizing the problems of cross-functional stakeholders
  • Support critical ML systems used for fraud detection, language models, recommendation systems and underwriting.
  • Influence our roadmap and ensure we're working on the highest impact problems within the ML infrastructure domain

Other

  • 8+ years of experience in software development and/or machine learning experience with a focus on internal platforms or infrastructure.
  • A desire to understand our clients' needs in order to design tools and systems that solve our customer's problems. As a platform team, our main customers are internal developers and products.
  • Strong communication skills (verbal and written) with technical and non-technical stakeholders.
  • We value general and versatile engineering skill over specific experience with our current stack
  • Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class.