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