In this role, you will:
- Develop deep learning models for large-scale computer vision applications
- Design scalable training pipelines for robust, real-time AI performance
- Work with large-scale image and video datasets to drive AI improvement
- Research self-supervised and representation learning techniques to enhance model adaptability
- Collaborate with engineering teams to integrate vision models into production
Qualifications:
- BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
- Experience developing high-performance deep learning models for vision
- Proficiency in Python and deep learning libraries like PyTorch or TensorFlow
- Strong understanding of generalization techniques for vision AI
- Passion for advancing AI-driven computer vision
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.)
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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.

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