Computer Vision Data Scientist

Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.

The Camera, Imaging and Computer Vision team delivers Intelligent Vision & Imaging technologies and features underlying Rivian’s adventure user experiences.  This multi-disciplinary team architects, designs, develops and productizes state-of- the-art algorithms and SW stacks on various compute platforms, and across multiple vehicle system architectures. As a Computer Vision Data Scientist, you will research and build large datasets and infrastructure pipelines to extend the performance of our computer vision algorithms and deep learning models for vehicle security, safety, and driver assistance. You will also expand your horizons to collaborate with other domain experts to bring our innovations from concept to product. 

Responsibilities:

• Manage data collection and curation for various computer vision and deep learning use cases on vehicle. 
• Work with algorithm engineers, system/software engineers, and test engineers to understand the features from vehicle data. 
• Develop metrics and statistical models that interpret data into insights and improve engineering performance. 
• Work on the data infrastructure to support data analytics and annotation using computer vision and deep learning techniques. 

Qualifications:

• MS in Engineering, Applied Mathematics, Data Science, Computer Science, or equivalent field, with 3 years of industry experience, a PhD degree or equivalent industry experience. 
• Strong programming skills with C++, Python, or related languages. 
• Strong background in using Python libraries (NumPy, Pandas, scikit-learn, etc.)
• Extensive knowledge of machine learning and deep learning techniques.
• Solid background in image processing and computer vision.
• Experience in building datasets for computer vison tasks.
• Experience in data analysis and data mining.
• Good written communication and presentation skills. 

Preferred Qualifications:

• Experience with TensorFlow or PyTorch. 
• Experience in working with large datasets and developing infrastructure pipelines 
• Hands-on experience with AWS services like Sagemaker, S3, etc. 
• Experience in automotive electronics and/or consumer electronics.