Applied AI Engineer – Multimodal AI

Real-world AI doesn’t rely on a single sensor—it learns from multiple inputs over time to form a cohesive understanding of the world. Kodiak is developing spatio-temporal AI models that integrate camera, LiDAR, and radar to enhance robustness and real-time decision-making. We are looking for engineers to build scalable multimodal intelligence that enables safe, real-world autonomy.

In this role, you will: 

• 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

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 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

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
•  Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)