Applied AI Engineer – Computer Vision
Description For Applied AI Engineer – Computer Vision
Kodiak Robotics, a leading force in autonomous ground transportation, is seeking an Applied AI Engineer specializing in Computer Vision. Founded in 2018, Kodiak has established itself as a trusted pioneer in developing AI-powered technology for driverless long-haul trucking. The role offers an exciting opportunity to work on cutting-edge computer vision applications that directly impact the future of autonomous transportation.
The position involves developing sophisticated deep learning models for large-scale computer vision applications, with a focus on real-world implementation in autonomous trucking systems. You'll be responsible for designing scalable training pipelines, working with extensive image and video datasets, and researching advanced techniques in self-supervised and representation learning.
The ideal candidate should possess strong technical expertise in AI and computer vision, with at least 2-3 years of experience or equivalent educational background. Proficiency in Python and major deep learning frameworks is essential, along with a deep understanding of vision AI generalization techniques.
Kodiak offers an attractive compensation package ranging from $150,000 to $250,000, plus equity and bonuses. The company provides comprehensive benefits including medical, dental, and vision insurance, flexible PTO, and various wellness perks. Based in Mountain View, CA, the hybrid work environment offers modern office amenities and a collaborative atmosphere.
This role presents a unique opportunity to contribute to groundbreaking technology that's actively shaping the future of transportation. You'll be working with a team that's already delivering autonomous freight across Sun Belt states and collaborating with the U.S. Department of Defense, making this an ideal position for someone passionate about advancing AI-driven computer vision at scale.
Responsibilities For Applied AI Engineer – Computer Vision
- 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
Requirements For Applied AI Engineer – Computer Vision
- 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
Benefits For Applied AI Engineer – Computer Vision
- 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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