
Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
January 8
🇺🇸 United States – Remote
💵 $175k - $234k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Transport • Artificial Intelligence • Automotive
Motional is a leading company in the development of autonomous vehicles, focusing on making driverless transportation a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional has been at the forefront of driverless technology for decades, creating SAE Level 4 autonomous vehicles for ride-hail and delivery services. The company emphasizes safety and innovation, leveraging advanced machine learning and automotive technology to build fully driverless vehicles that integrate smoothly into mobility networks, providing an enjoyable experience for daily transportation and deliveries.
• Develop data products utilizing foundation models such as multi-modal encoding models (CLIP-style models), vision language models (VLMs) and large language models (LLMs) and adapt them to the autonomous driving domain via pre-training, fine-tuning and prompt optimization. • Own large-scale mining workflows that surface rare objects, model errors & long-tail events. • Build high-quality datasets to improve ML products through training & edge case validation. • Contribute to data processing pipelines that fuel our in-house billion-scale image search engine. • Provide statistical depth on model performance & generalization through rigorous error analysis across complex driving scenarios.
• BS in computer science, similar discipline or equivalent experience. • 3+ years of experience architecting and shipping high-performance & large-scale distributed systems. • Experience with deploying vision language models (VLMs) or large-scale vision encoders (e.g. CLIP) in production settings for image/video understanding, object detection or searching. • Experience with core cloud services (e.g. AWS’s S3, Athena, RDS or similar) and modern vector databases (OpenSearch, Weaviate, Pinecone etc.). • Solid software engineering principles – such as software design patterns, configuration management, source control, build processes, code reviews, testing methodologies, app containerization, continuous integration etc. • Fluency in Python and experience on production-quality software development.
• Medical • Dental • Vision • 401k with a company match • Health saving accounts • Life insurance • Pet insurance • And more
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