Applied AI Engineer – Generative AI
2/28/2026
Engineers will develop generative models to enhance AI adaptability and robustness, focusing on research and implementation of diffusion-based, autoregressive, and variational techniques for real-world applications. Responsibilities also include building self-improving AI pipelines and optimizing models for efficient, scalable, and interpretable decision-making.
Salary
150000 - 250000 USD
Working Hours
40 hours/week
Company Size
201-500 employees
Language
English
Visa Sponsorship
No
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
Kodiak is redefining what AI can do in autonomy, and generative models play a critical role in making AI more adaptive, predictive, and resilient. We are looking for engineers to develop AI that anticipates uncertainty, enhances decision-making, and refines its own understanding of the world. This role is open to all levels—from those eager to contribute to cutting-edge research to experts driving innovation at scale.
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
What you’ll bring:
- 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 annual bonuses
- Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
- MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
- Flexible PTO, 10 paid holidays, 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 through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
- Fidelity 401(k)
- Commuter, FSA, Dependent Care FSA, HSA
- Various incentive programs (referral bonuses, patent bonuses, etc.)
The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package
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