Staff Machine Learning Engineer (Modeling), Support

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, 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.

Do you have experience in System deployment?, * 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

3.63.6 out of 5 stars Seattle, WA Remote $160,700 - $283,600 a year, Pulled from the full job description

• Retirement plan
• Life insurance, $189,000-$283,600 USD Zone B: $179,600-$269,400 USD Zone C: $170,100-$255,100 USD Zone D: $160,700-$241,100 USD