ML Engineer, Agentic Systems
Tasks
- Analyze agent failure modes and iterate improvements
- Design and build agentic systems for creative tasks
- Design evaluation frameworks for video analysis and editing
- Design objectives datasets and fine tuning strategies
- Develop training and adaptation approaches for large language models
- Explore multimodal reasoning and structured generation
- Run systematic experiments to evaluate agent performance
Perks/Benefits
- 401k matching
- Catered lunch
- Commuter benefits
- Dental insurance
- Dinner stipend
- Health insurance
- PTO
- Team offsites
- Vision insurance
- Wellness perks
Skills/Tech-stack
Agent systems | Experimentation | Fine Tuning | Language Models | Large Language Models | Machine Learning | Model Alignment | Multimodal Learning | Post-training | Structured generation | Transformers
Education
Roles
Regions
Countries
States
Cities
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