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Staff Machine Learning Engineer (Modeling), Support at Block
BlockSan Francisco, CA, United States of America·1w ago
LeadFull-timePythonAWSMachine LearningTensorFlowPyTorchAIMLNLP
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our ecosystem, including Cash App, Square, and other business units. We are dedicated to advancing intelligent, automated support through machine learning and generative AI.
Key Responsibilities
- →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
- →Guide the team’s direction, identifying new ML/AI opportunities and advising leadership on strategic tradeoffs
- →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 Block products
- →Develop ML-powered tools and real-time recommendation systems that enhance support agent effectiveness
- →Act as the technical representative for your team’s systems and programs
Requirements
- ✓10+ years of experience in machine learning, applied AI, or product ML roles
- ✓Demonstrated leadership capabilities with the ability to influence and align cross-functional teams
- ✓A track record of delivering organizational-wide impact
- ✓Proven ability to ship end-to-end ML features from problem framing through deployment
- ✓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
- ✓Enthusiasm for R&D and pushing the boundaries of applied AI
Benefits
- ★Remote work
- ★Medical insurance
- ★Flexible time off
- ★Retirement savings plans
- ★Modern family planning
