Kodiak Robotics, a leading autonomous transportation company founded in 2018, is seeking a New Grad Applied AI Engineer specializing in computer vision. This role presents an exciting opportunity to work at the forefront of autonomous vehicle technology, specifically focusing on developing AI-powered solutions for driverless military and long-haul trucking applications.
The position offers a competitive salary range of $135,000-$170,000, plus bonus, equity, and comprehensive benefits. As part of the AI team, you'll be responsible for designing and implementing machine learning algorithms, working with various sensor data types, and developing deep neural networks for critical autonomous driving functions.
The ideal candidate should have a strong technical background with at least 1 year of industry/internship experience in deep neural networks, along with proficiency in Python and C++. You'll be working in a collaborative environment, contributing to real-world robotics problems while having access to cutting-edge technology and data.
The company offers an impressive benefits package, including medical coverage through top providers, flexible PTO, parental leave, and various wellness benefits. The hybrid work environment in Mountain View provides additional perks such as free catered lunch and a dog-friendly office.
This role is perfect for someone passionate about autonomous technology who wants to make a significant impact in the transportation industry. You'll be joining a company that not only serves commercial customers across the Sun Belt states but also works with the U.S. Department of Defense, offering diverse and challenging projects to work on.
The position requires strong communication skills and the ability to work effectively in a team environment. You'll be involved in the entire machine learning pipeline, from dataset collection and labeling to training and validation, making this an excellent opportunity for hands-on experience in production ML systems.
Kodiak Robotics values diversity and maintains a collaborative environment where harassment is strictly prohibited. The company offers sponsorship for eligible candidates and adheres to U.S. national security statutes, making this an excellent opportunity for those interested in working on critical transportation technology.