Senior Applied AI Engineer - Computer Vision

We are looking for a highly skilled Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems.

In this role, you will:

• Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code.
• Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning.
• Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning.
• Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset.
• Collaborate closely with other experts on the team, including the planning and systems engineering team.

What you’ll bring:

• Strong technical background. BS, MS or PhD with academic or at least 4-5 years industry experience in designing and implementing deep neural networks. You are a skilled software engineer with experience in C++ and strong problem-solving skills. You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud.
• A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
• Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
• Hands on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation.
• Great communicator. You have experience writing clear, concise, and detailed documentation. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)