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python tensorflow pytorch jax📋 Description
- Lead end-to-end delivery of ML initiatives from planning to rollout and maintenance
- Partner with risk, product, engineering, design, and ops to define ML roadmaps
- Guide the team's direction and identify ML opportunities; advise leadership on tradeoffs
- Drive R&D on chatbot architectures using LLMs, RAG, fine-tuning, inference
- Design, deploy, and maintain ML models powering conversational agents across Block products
- Develop ML-powered tools and real-time recommendation systems
🎯 Requirements
- 10+ years in ML, applied AI, or product ML with deep expertise
- Demonstrated leadership across cross-functional teams; influence peers
- Track record of organizational impact across multiple teams
- Proven ability to ship end-to-end ML features from framing to deployment
- Experience with language models, dialog systems, or generative AI in production
- Strong NLP, deep learning, or ML infrastructure foundations
🎁 Benefits
- Remote work options
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning resources
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