Staff Machine Learning Engineer (Modeling), Support
Block, Inc. is a technology company building tools for economic empowerment, operating a portfolio of financial brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto. It serves sellers, consumers, artists, and bitcoin users through payments, banking, buy-now-pay-later, music streaming, and bitcoin self-custody and mining products.
Maintainer signals as of 8/23/2026
About Block, Inc.
Block, Inc. builds technology aimed at increasing access to the global economy. Its brands each unlock different aspects of the economy: Square makes commerce and financial services accessible to sellers; Cash App is an easy way to spend, send, and store money; Afterpay (Clearpay in the UK) helps customers manage spending over time; TIDAL is a music platform empowering artists as entrepreneurs; Bitkey is a self-custody bitcoin wallet; and Proto builds open, accessible bitcoin mining hardware and services. Block has been a long-time advocate for bitcoin, integrating bitcoin buying/selling and Lightning Network payments into Cash App and Square, funding open-source bitcoin infrastructure through Spiral (including the Lightning Development Kit), and engaging in bitcoin policy advocacy through groups like COPA, the Digital Energy Council, the Crypto Council for Innovation, and the Texas Blockchain Council. The company also runs a significant open source program (contributing to projects like Goose, an on-machine AI developer agent, OkHttp, Retrofit, gRPC, Envoy, and MySQL) and an AI research effort, including co-founding the Agentic AI Foundation with Anthropic and OpenAI. Block serves individual consumers, small and medium-sized businesses/merchants, artists, and developers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead end-to-end delivery of ML initiatives, partner with cross-functional leaders on ML roadmaps, guide AI strategy, research chatbot architectures, deploy conversational models, build ML-powered support tools, and represent technical programs to stakeholders.
Requirements
- 10+ years of experience in machine learning, applied AI, or product ML roles.
- Demonstrated leadership and ability to influence and align cross-functional teams.
- Track record of organizational-wide impact across multiple teams or functions.
- Ability to ship end-to-end ML features from problem framing through deployment and maintenance.
- Experience with language models, dialog systems, or generative AI in production.
- Strong foundation in NLP, deep learning, or ML infrastructure best practices.
- Excellent communication skills with leadership and stakeholders.
- Enthusiasm for R&D and advancing applied AI for conversational systems.
Responsibilities
- Lead the end-to-end delivery of multiple ML initiatives from planning and design through rollout, documentation, and long-term maintenance.
- Partner with risk, product, engineering, design, and operations leaders to define and drive long-term ML roadmaps.
- Guide team direction, identify ML and AI opportunities, and advise leadership on strategic tradeoffs.
- Drive R&D on chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference.
- Design, deploy, and maintain ML models powering conversational agents and support chatbots.
- Develop ML-powered tools and real-time recommendation systems to improve support agent effectiveness and customer outcomes.
- Represent the team’s systems and programs to stakeholders, cross-functional partners, and external audiences.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning