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Senior Applied AI Scientist
On-siteFull-timeAI & Machine LearningAutonomous Vehicles
Join a core R&D team developing next-generation AI systems for autonomous driving. Translate research into production-ready predictive models for driving decisions, balancing advanced capability with real-time and embedded-system constraints.
Responsibilities
- Own the research-to-deployment lifecycle for predictive driving models
- Design, implement, and iterate on real-time predictive models, including vision-language, motion-prediction, and inverse-reinforcement-learning systems
- Contribute to vision-language-action models for edge cases and long-horizon planning
- Bridge cloud-scale training with embedded automotive deployment
- Apply model compression, quantization, speculative decoding, and efficient inference techniques
- Evaluate and integrate current AI research into the autonomy stack
- Collaborate with R&D teams to resolve technical challenges and accelerate delivery
Requirements
- Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related field
- Strong publication or deployment record in deep learning, computer vision, reinforcement learning, imitation learning, vision-language models, or motion prediction
- Demonstrated ability to convert research papers into working, shipped systems
- Strong Python programming skills
- Experience with PyTorch, distributed training, and model optimization
- Strong mathematical foundations in probability, optimization, and statistics
Nice to have
- C++ experience
- CUDA or low-level GPU optimization
- Model quantization, distillation, or efficient edge inference
- Experience with real-time, safety-critical, or embodied AI systems
- Experience with small language models or on-device foundation models
- Familiarity with driving datasets, simulation environments, or sensor-fusion pipelines