Research Scientist – LTX Model Quality
Tasks
- Conduct failure mode analysis
- Create preference datasets and benchmarks
- Define quality metrics and evaluation frameworks
- Develop post-training pipelines
- Fine-tune multimodal models
- Implement RLHF and DPO
- Improve models using human feedback loops
Perks/Benefits
- Car to go subscriptions
- Free parking
- Learning opportunities
- On site bakery
- On-site restaurants
- Responsible AI guidance
- Shuttle service
- Train station pickups
- Training access
- Workshops
Skills/Tech-stack
Benchmark design | Computer Vision | Deep learning | Direct Preference Optimization | Evaluation metrics | Experimental Design | Generative AI | Human Feedback | Language Processing | Learning from Human Feedback | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Preference optimization | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling | Software Engineering | Statistics
Education
Roles
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