Applied AI Engineer – Generative AI

World leader in autonomous ground transportation developing AI-powered technology for driverless long-haul trucking applications.
$150,000 - $250,000
Machine Learning
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Automotive · Robotics

Description For Applied AI Engineer – Generative AI

Kodiak Robotics, a leader in autonomous trucking technology, is seeking an Applied AI Engineer specializing in Generative AI. This role combines cutting-edge AI research with practical applications in autonomous vehicles. The position offers an opportunity to work on innovative generative models that enhance the adaptability and robustness of autonomous systems. Located in the SF Bay Area, the role provides a comprehensive benefits package and competitive compensation. The ideal candidate will contribute to developing AI that anticipates uncertainty, enhances decision-making, and continuously refines its understanding of the world. This is a unique opportunity to work at the intersection of autonomous vehicles and generative AI, with real-world applications in long-haul trucking. The company's commitment to safety and efficiency in transportation, combined with its work with commercial customers and the U.S. Department of Defense, makes this an exciting role for those passionate about advancing AI technology in autonomous systems. The position offers growth potential and the chance to work with state-of-the-art technology in a collaborative environment.

Last updated a month ago

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

Python
  • 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

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Commuter Benefits
  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian
  • Flexible PTO and generous parental leave policies
  • Office perks: dog-friendly, 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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