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Staff Machine Learning Engineer (Modeling), Support

Staff Machine Learning Engineer (Modeling), Support

BlockSan Francisco, California, United States
Hace 2 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem—including Cash App, Square, and other business units. We are dedicated to advancing the state of intelligent, automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents, our team builds high-impact, scalable systems that improve support quality, efficiency, and accessibility.

We're building the future of support at Block : one powered by AI, voice interfaces, and smart automation. We're looking for candidates with a passion for intelligent systems, practical ML experience, and a desire to build product-driven solutions. Our ideal candidate is a leader in the field, with a proven track record of building ML systems that can accelerate our ability to scale our conversational AI initiatives.

You Will

Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance

Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long‑term ML roadmaps, informed by domain expertise and industry trends

Guide the team's direction, identifying new ML / AI opportunities and advising leadership on strategic tradeoffs and opportunities

Drive R&D efforts exploring next‑generation chatbot architectures using LLMs, RAG, fine‑tuning, and real‑time inference

Design, deploy, and maintain ML models powering conversational agents including support chatbots across Cash App, Square, and other Block products

Develop ML‑powered tools and real‑time recommendation systems that enhance support agent effectiveness and customer outcomes

Act as the technical representative for your team's systems and programs, clearly communicating work and results to stakeholders, cross‑functional partners, and external audiences

You Have

10+ years of experience in machine learning, applied AI, or product ML roles, with deep technical expertise

Demonstrated leadership capabilities, with the ability to influence and align cross‑functional teams while directly shaping the work of peers through communication, context sharing, and technical guidance

A track record of delivering organizational‑wide impact, shaping systems, frameworks, or initiatives that raise the bar across multiple teams or functions

Proven ability to ship end‑to‑end ML features from problem framing through deployment and long‑term maintenance

Demonstrated 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 the ability to represent the team's work to leadership and stakeholders

Enthusiasm for R&D and pushing the boundaries of applied AI to transform conversational systems

Technologies We Use and Teach

Python, PyTorch, TensorFlow, or JAX

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Equal Opportunity Statement

Block is an equal‑opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Zone A

$276,800—$415,200 USD

Zone B

$276,800—$415,200 USD

Zone C

$276,800—$415,200 USD

Zone D

$276,800—$415,200 USD

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. Contact us at privacy@block.xyz with hiring practice or data usage questions.

Benefits

Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offerings. Check out our other benefits at Block.

About Block

Block, Inc. (NYSE : XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self‑custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.

Privacy Policy

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Staff Machine Learning Engineer • San Francisco, California, United States

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