Voyage is delivering on the promise of self-driving cars.

Voyage has built the technology and services to bring autonomous transportation to those who need it most, beginning in retirement communities. Whether residents face mobility restrictions or just want to take a ride, Voyage takes pride in getting all our passengers to their destination safely, efficiently, and affordably. Our journey begins in calmer communities, but we won't stop until anyone, anywhere can summon a Voyage.

Deep learning, machine intelligence and autonomous vehicles go hand in hand, and will one day soon free humans from the need to drive vehicles. With our production taxi service deployments, our data collection ability has grown substantially. This data is waiting for world-class Deep Learning Engineers to build revolutionary algorithms that finally bring self-driving cars to the world.

Responsibilities:

• Leverage deep learning to develop state-of-the-art camera-based perception algorithms for 3D object detection, semantic segmentation and so on
• Develop and implement novel techniques for fusing camera and Lidar data
• Optimize and deploy deep learning models on the perception stack of Voyage’s self-driving vehicles

Requirements:

• 2+ years of experience in one or more of the following: computer vision, machine learning, deep learning, and/or perception
• Help pioneer the future of machine learning for self-driving cars!
• Experience in deep learning and computer vision is a must, specifically, developing camera-based 2D/3D object detection algorithms
• Experience with multi-view geometry a plus
• Show us what you've built before. Previous experience training your own deep neural networks required, preferably previously in an automotive or robotics stack. Think CNNs, RNNs, Bayesian Inference, One-shot Learning and more
• Experience deploying production machine learning models a plus
• Strong programming skills with C++ knowledge a plus
• Entrepreneurs wanted! Help us build and lead this team

We are an equal opportunity employer and value diversity at our company. Women, people of color, members of the LGBTQ community, individuals with disabilities, and veterans are strongly encouraged to apply.