Applied AI Engineer – Multimodal AI
Description For Applied AI Engineer – Multimodal AI
Kodiak Robotics, a leading autonomous transportation company founded in 2018, is revolutionizing the long-haul trucking industry through advanced AI technology. They're seeking an Applied AI Engineer to join their team in developing cutting-edge multimodal AI systems that integrate various sensor data for autonomous vehicles.
The role focuses on building sophisticated spatio-temporal AI models that combine inputs from cameras, LiDAR, and radar sensors to create robust, real-time decision-making systems. This position offers an exciting opportunity to work on real-world autonomy challenges, developing AI that truly understands its environment through multiple sensory inputs.
The ideal candidate will have at least 2-3 years of experience or advanced education in AI/Computer Science, with specific expertise in multimodal AI development. Strong programming skills in Python and familiarity with major deep learning frameworks are essential. The position offers competitive compensation ($150,000-$250,000) plus equity and comprehensive benefits.
Working at Kodiak means joining a team that's actively shaping the future of transportation. The company maintains a strong presence in the autonomous vehicle industry, delivering freight daily across Sun Belt states and collaborating with the U.S. Department of Defense. Their Mountain View office provides an excellent work environment with various perks and benefits.
This is an ideal opportunity for someone passionate about autonomous systems and multimodal AI, offering the chance to work on challenging technical problems while contributing to the advancement of autonomous transportation technology. The hybrid work environment and comprehensive benefits package make this an attractive position for those looking to make a significant impact in the autonomous vehicle industry.
Responsibilities For Applied AI Engineer – Multimodal AI
- Develop multimodal AI models that integrate sensor data across time and space
- Build spatio-temporal architectures that improve long-term AI reasoning
- Research self-supervised and contrastive learning techniques to enhance adaptability
- Optimize AI models for efficient, real-time inference in dynamic environments
- Work with large-scale datasets to refine multimodal learning pipelines
Requirements For Applied AI Engineer – Multimodal AI
- BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
- Experience developing multimodal AI models that integrate LiDAR, radar, and camera data
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
- Strong understanding of temporal learning techniques and sequence modeling
- Passion for building AI that understands the world holistically
Benefits For Applied AI Engineer – Multimodal AI
- 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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