Kodiak is seeking an Applied AI Engineer to design the AI Flywheel, a closed-loop system enabling continuous learning across its fleet of autonomous trucks
Job Summary
Kodiak is seeking an Applied AI Engineer to design the AI Flywheel, a closed-loop system enabling continuous learning across its fleet of autonomous trucks.
The role involves building multi-node distributed training pipelines and developing smart data mining strategies to prioritize valuable training data from petabyte-scale logs.
Candidates will benefit from competitive compensation including equity and bonuses, along with comprehensive medical plans and flexible PTO policies.
Matching Summary
Kodiak is seeking an Applied AI Engineer to design the AI Flywheel, a closed-loop system enabling continuous learning across its fleet of autonomous trucks.
Salary
Base: $180,000 - $240,000 USD; Bonus/Equity: Competitive equity and annual bonuses included; Benefits: Medical, Dental, Vision, 401(k), and wellness perks
Skills & Requirements
Must-have
3+ years production ML infrastructure experience
Deep proficiency in Python and PyTorch
Experience with distributed training frameworks
Pipeline orchestration tools like Airflow or Kubeflow
Nice-to-have
Experience in autonomous vehicles or robotics
Background in self-supervised or active learning
Familiarity with containerization and Docker
Cross-functional collaboration with research teams
Key Requirements
Bachelor's, Master's, or PhD in Computer Science or related field
3+ years of experience building production-grade ML infrastructure
Strong engineering fundamentals and debugging skills