AI Specialist (Technical Leadership) - Product and Applied Research
Tasks
- Advance intelligent machine science
- Assess industry and company technology trends
- Assist project impact and system architecture planning
- Collaborate with organization leaders to improve performance
- Communicate complex systems in detail
- Define use cases and evaluation benchmarks
- Design novel AI system architectures
- Develop end to end system policies processes and tests
- Drive team technical direction and goals
- Evaluate AI approaches using methodologies and benchmarks
- Identify new opportunities and influence staffing priorities
- Lead AI projects across scientific teams
- Make architectural trade offs to deliver software
- Mentor AI engineers and improve AI work quality
- Write clean code and debug complex cross system problems
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic technology | C++ | Data Mining | Human Feedback | Information Retrieval | LLM Alignment | Language Model | Language Processing | Large Language Model | Learning from Human Feedback | Machine Learning | NLP | Natural Language | Natural Language Processing | Python | Recommendation Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback | Software Engineering
Education
Roles
AI | AI Specialist | Engineer | Learning Engineer | Machine Learning Engineer | Specialist
Regions
Countries
States
Cities
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