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nlp python tensorflow pytorch llms๐ Description
- Lead end-to-end ML initiatives: planning, rollout, docs, and long-term maintenance
- Partner strategically with risk, product, eng, design, and ops to define long-term ML roadmaps
- Guide the teamโs direction, identifying ML/AI opportunities and advising on tradeoffs
- Drive R&D exploring chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference
- Design, deploy, and maintain ML models powering conversational agents across Block products
- Develop ML-powered tools and real-time recommendation systems to improve agent effectiveness
๐ฏ Requirements
- 10+ years of ML, AI, or product ML with deep technical expertise
- Demonstrated leadership capabilities, influencing cross-functional teams
- Track record delivering org-wide impact across multiple teams or functions
- Proven ability to ship end-to-end ML features from framing to deployment
- Demonstrated experience with language models, dialog systems, or generative AI in production
- Strong foundation in NLP, deep learning, or ML infrastructure best practices
๐ Benefits
- Remote work allowed
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
- Inclusive interview process with accommodations
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