Machine Learning Engineer II, Computer Vision Applied Science
San Francisco, CA, US; Remote, US
R
USD 138K-285K Entry-level Full Time
Tasks
- Build multimodal search models
- Collect visual training data
- Conduct RLHF and targeted fine tuning
- Develop evaluation benchmarks for vision capabilities
- Fine tune open source large language models
- Mentor junior researchers
- Prototype vision language model architectures
- Publish research papers and blogs
- Train generative visual models
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data collection | Deep learning | Fine Tuning | Generative Modeling | Human Feedback | Language Models | Large Language Models | Large Scale Training | Large-scale | Learning from Human Feedback | Machine Learning | Model Evaluation | Multimodal Learning | Reinforcement Learning | Reinforcement Learning from Human Feedback | Text-to-Image | Vision Language Models | Vision-language
Education
Regions
Countries
States
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