In this role, you will:
- Develop generative models that enhance adaptability and improve AI robustness
- Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
- Apply generative methods to anticipate challenges and reinforce decision-making
- Build self-improving AI pipelines that continuously refine model understanding
- Optimize models for efficient, scalable, and interpretable AI decision-making
Qualifications:
- BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
- Experience with diffusion models, autoregressive learning, or generative AI methods
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
- Strong understanding of uncertainty modeling and self-supervised learning
- Passion for building AI that continuously adapts and learns.
What we offer:
- Competitive compensation package including equity and biannual bonuses
- Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
- Flexible PTO and generous parental leave policies
- Our office is centrally located in Mountain View, CA
- Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
- Long Term Disability, Short Term Disability, Life Insurance
- Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
- Fidelity 401(k)
- Commuter, FSA, Dependent Care FSA, HSA
- Various incentive programs (referral bonuses, patent bonuses, etc.)
Similar Jobs
What We Do
Kodiak Robotics is an autonomous technology company redefining the long-haul trucking industry.
We believe self-driving trucks will be the first economically viable application of autonomous vehicle technology. We founded Kodiak in the spring of 2018 to make that belief a reality.
Safety is our top priority. We are taking a safe and responsible approach to developing and testing our technology.
We are proud to work with some of the best in the business. We’ve built a world class team of technologists from leading autonomous driving programs who know the industry inside and out. Our combined experience and commitment to the vision will allow us to put self-driving technology on the road in the safest and most effective way.
.png)





