Experience with diffusion models and video generation
Proficiency in neural rendering and view synthesis
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Kodiak AI is seeking a World Model Research Scientist to develop generative models that enhance autonomous driving technology. The ideal candidate will have a strong background in AI and robotics, particularly in generative modeling and multi-sensor data integration.
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Job Summary
The company is developing large-scale generative world models that learn to predict realistic, physically consistent futures from real-world sensor data.
This role involves designing conditional diffusion architectures for driving scenarios including spatiotemporal attention and action-conditioned generation.
Candidates will benefit from a competitive compensation package including equity, annual bonuses, and comprehensive health benefits through Kaiser Permanente.
Matching Summary
Match Score: 75
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Kodiak AI is seeking a World Model Research Scientist to develop generative models that enhance autonomous driving technology. The ideal candidate will have a strong background in AI and robotics, particularly in generative modeling and multi-sensor data integration.
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Salary
Base: $190,000 - $250,000 USD; Bonus/Equity: Competitive equity and annual bonuses included; Benefits: Medical, Dental, Vision, 401(k), and wellness perks
Skills & Requirements
Must-have
PhD in Computer Science or related field
Experience with diffusion models and video generation
Proficiency in neural rendering and view synthesis
Strong Python and PyTorch implementation skills
Experience with multimodal sensor data processing
Nice-to-have
Passion for safe autonomous driving AI
Knowledge of distributed training at scale
Familiarity with 3D representations like BEV grids
Key Requirements
PhD in Computer Science, AI, Robotics, or related field
Demonstrated research contributions in generative modeling
Strong publication record in diffusion models or neural radiance fields