Applied AI Engineer – Generative AI
Description For Applied AI Engineer – Generative AI
Kodiak Robotics, a pioneering force in autonomous vehicle technology since 2018, is seeking an Applied AI Engineer specializing in Generative AI. This role sits at the intersection of autonomous driving and cutting-edge AI development, where you'll work on developing sophisticated generative models that enhance the company's self-driving truck technology. The position offers a unique opportunity to work with a company that's actively delivering freight across Sun Belt states and collaborating with the U.S. Department of Defense.
The role combines practical implementation with innovative research, focusing on developing AI systems that can anticipate uncertainty, enhance decision-making, and continuously improve their understanding of the world. You'll be working with state-of-the-art generative AI techniques, including diffusion models and autoregressive learning, to push the boundaries of what's possible in autonomous vehicle technology.
Located in Mountain View, CA, Kodiak offers a comprehensive benefits package including competitive salary ($150,000-$250,000), equity, and extensive health benefits. The company culture emphasizes work-life balance with flexible PTO and modern office amenities. This is an excellent opportunity for AI engineers who want to make a tangible impact on the future of transportation technology while working with a team that's already deploying autonomous solutions in real-world scenarios.
The ideal candidate will bring a strong technical foundation in AI and machine learning, with particular expertise in generative models and deep learning frameworks. Whether you're a mid-level engineer looking to grow or an experienced professional ready to lead innovation, this role offers the chance to work on meaningful problems at the forefront of autonomous technology development.
Responsibilities For Applied AI Engineer – Generative AI
- 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
Requirements For Applied AI Engineer – Generative AI
- 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
Benefits For Applied AI Engineer – Generative AI
- Competitive compensation package including equity and biannual bonuses
- Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian
- Flexible PTO and generous parental leave policies
- Dog-friendly office
- Free catered lunch
- Fully stocked kitchen
- 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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