Computer Vision Scientist – Generative Models
Intelix.AI - San Francisco
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Overview
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Overview
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This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$200,000.00/yr - $300,000.00/yr
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Compensation: $150k–$300k base + 0.5%–2.0% equity (Depending on experience)
Visa Sponsorship: Available for exceptional candidates
This role is at an elite AI startup building next-generation video foundation models. The role holder will be an elite researchers on frontier models in order to lead cutting-edge research and model training at scale, shaping the future of generative video technology.
Core Responsibilities
- Train large-scale video diffusion transformer models across 100s of GPUs
- Curate, clean, and label internet-scale video datasets
- Research and prototype ideas from state-of-the-art literature (e.g., arXiv)
- Build and fine-tune LoRAs for feature extension
Requirements
- Advanced Python & PyTorch skills
- Proven experience with visual data preparation and labeling
- Hands-on with diffusion models and/or vision transformers
- Familiar with Linux clusters, scripting, and GPU environments
- Strong academic or industry pedigree (PhD, top-tier company, OSS contributor)
- Deep interest in generative video AI and staying ahead of the curve
- Stable career history (no chronic job-hopping)
Preferred (Not Essential)
- Knowledge of VAEs, GANs, video compression, perceptual metrics
- Strong publication record
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Research and Information TechnologyIndustries
Technology, Information and Media
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