Applied AI Engineer - Flywheel Automation & Continuous Learning
Kodiak(2 months ago)
About this role
Kodiak is hiring an Applied AI Engineer to build the closed-loop system that enables continuous learning across its autonomous truck fleet. The role focuses on architecting and automating the data-to-model flywheel so models improve continuously with real-world driving data. It is a cross-functional position working with perception, foundation model, and infrastructure teams to advance safer, more capable autonomy.
Required Skills
- Python
- PyTorch
- TensorFlow
- Distributed Training
- Data Mining
- Active Learning
- Pipeline Orchestration
- Model Evaluation
- Model Deployment
- Model Packaging
+4 more
Qualifications
- Bachelor’s in Computer Science or related field
- Master’s in Computer Science or related field
- PhD in Computer Science or related field
About Kodiak
kodiak.aiKodiak Robotics (Kodiak AI) builds purpose‑built autonomous driving systems for ground transportation, centered on its Kodiak Driver software and hardware stack. Their driverless technology is designed to seamlessly integrate with existing vehicle platforms to enable reliable, safe movement across a wide range of environments. Kodiak emphasizes safety, scalability, and real‑world deployment as it works to commercialize and advance autonomous ground transportation.
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