Staff Machine Learning Engineer Modeling Support

Block, Inc. is a global financial-technology company building products for economic empowerment across payments, consumer finance, commerce, Bitcoin, music, and AI.

Maintainer signals as of 9/24/2026

Oakland, United States
About Block, Inc.

Block, Inc., formerly Square, Inc., operates the Square and Cash App ecosystems and current businesses including Afterpay, TIDAL, Bitkey, Proto, and Spiral. Its current Bitcoin ecosystem includes Cash App Bitcoin services, Bitkey self-custody wallet technology, Proto mining systems, and Spiral open-source Bitcoin initiatives. Block also develops open-source AI and collaboration projects including Goose, Buzz, and Berd.

View jobs by Block, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead machine-learning initiatives from planning through long-term maintenance. You will define ML roadmaps, research chatbot architectures, deploy models for conversational agents, and develop recommendation systems for support. You will communicate technical work and results to stakeholders and external audiences.

Requirements

  • 10+ years of machine learning, applied AI, or product ML experience
  • Cross-functional technical leadership
  • Experience delivering organization-wide impact
  • End-to-end ML feature delivery and maintenance
  • Production experience with language models, dialog systems, or generative AI
  • NLP, deep learning, or ML infrastructure expertise
  • Python, PyTorch, TensorFlow, or JAX

Responsibilities

  • Lead end-to-end delivery of machine-learning initiatives
  • Define and drive long-term machine-learning roadmaps
  • Identify ML and AI opportunities and advise on strategic tradeoffs
  • Drive R&D for chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference
  • Design, deploy, and maintain ML models for conversational agents
  • Develop ML-powered tools and real-time recommendation systems
  • Represent technical systems and programs to stakeholders and external audiences

Benefits

  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning