Kodiak is building the next generation of AI for autonomy, and foundation models are at the core. We are looking for engineers to develop and scale self-supervised, large-scale models that understand the world at a deep level, enabling adaptability, generalization, and safety in real-world operations. This role is open to all levels—from engineers eager to learn to experts looking to push the limits of AI.

In this role, you will

Develop foundation models that generalize across diverse real-world environments
Build scalable training and fine-tuning pipelines to improve performance and efficiency
Leverage self-supervised learning and multimodal architectures for robust AI understanding
Optimize models for deployment in dynamic, real-time AI systems
Collaborate with engineering teams to apply foundation models in real-world autonomy

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 in transformers, contrastive learning, or large-scale model architectures
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Strong understanding of self-supervised learning and scalable AI training techniques
Passion for advancing AI that continuously improves through data-driven learning

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.)

Applied AI Engineer – Foundation Models

Job Type