Sr./staff Applied Ai Engineer - Multimodal Transformers

Kodiak Robotics, Inc.

Mountain View, California, United States
Base: $200,000 - $260,000 usd; bonus/equity: equit...
On-site
Multimodal transformer architecture design
Cross-modal attention mechanisms implementation
Scalable training pipelines for large models
Kodiak Robotics, Inc. is seeking a Sr./Staff Applied AI Engineer specializing in multimodal transformers to enhance its autonomous technology for commercial trucking. The ideal candidate will have experience in transformer architectures and a passion for AI that processes diverse sensor data, and they will receive a competitive compensation package with extensive benefits

Job Summary

  • Kodiak Robotics is developing GigaFusionNet, a large-scale multimodal transformer that learns rich joint representations across camera, LiDAR, and radar.
  • The role involves designing architectures that fuse diverse sensor streams into unified, actionable understanding for autonomous ground transportation.
  • Candidates will benefit from competitive compensation including equity, annual bonuses, and comprehensive health plans with infertility benefits.

Matching Summary

Match Score: 85

Kodiak Robotics, Inc. is seeking a Sr./Staff Applied AI Engineer specializing in multimodal transformers to enhance its autonomous technology for commercial trucking. The ideal candidate will have experience in transformer architectures and a passion for AI that processes diverse sensor data, and they will receive a competitive compensation package with extensive benefits.

Salary

Base: $200,000 - $260,000 USD; Bonus/Equity: Equity and annual bonuses included; Benefits: Medical, Dental, Vision, 401(k), and wellness perks

Skills & Requirements

Must-have

  • Multimodal transformer architecture design
  • Cross-modal attention mechanisms implementation
  • Scalable training pipelines for large models
  • Python and PyTorch proficiency
  • Distributed training and mixed-precision optimization

Nice-to-have

  • Experience with self-supervised pretraining objectives
  • Passion for real-world sensory reasoning AI
  • Knowledge of efficient multi-stream tokenization

Key Requirements

  • BS, MS, or PhD in AI or Computer Science
  • 2-3 years of industry experience
  • Proficiency in deep learning frameworks like PyTorch

Work Rights

Not specified

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