Staff Machine Learning Engineer (modeling), Support

Block Block · Fintech · CA · Remote · 11003 Risk - Prod Dev - Square

Staff Machine Learning Engineer focused on building and scaling AI-powered conversational support systems, including chatbots and agent tools, across Block's consumer-facing products. The role involves end-to-end ML initiative delivery, R&D into next-generation chatbot architectures, and deploying models for real-time inference and recommendations.

What you'd actually do

  1. Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance
  2. 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
  3. Guide the team’s direction, identifying new ML/AI opportunities and advising leadership on strategic tradeoffs and opportunities
  4. Drive R&D efforts exploring next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference
  5. Design, deploy, and maintain ML models powering conversational agents including support chatbots across Cash App, Square, and other Block products
  6. Develop ML-powered tools and real time recommendation systems that enhance support agent effectiveness and customer outcomes
  7. 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

Skills

Required

  • Machine learning
  • Applied AI
  • Product ML
  • Leadership
  • Cross-functional team influence
  • ML roadmapping
  • LLMs
  • RAG
  • Fine-tuning
  • Real-time inference
  • Conversational agents
  • Support chatbots
  • Recommendation systems
  • NLP
  • Deep learning
  • ML infrastructure
  • Python
  • PyTorch
  • TensorFlow
  • JAX

Nice to have

  • Voice interfaces
  • Generative AI

What the JD emphasized

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

Other signals

  • building high-impact, scalable systems
  • advancing the state of intelligent, automated support
  • improving support quality, efficiency, and accessibility
  • building the future of support at Block: one powered by AI, voice interfaces, and smart automation
  • 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