Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and computer vision, with experience developing algorithms that understand complex environments. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and PyTorch, enabling you to build and fine-tune large models effectively. Your understanding of multimodal data processing allows you to leverage various sensor inputs to enhance algorithm performance.

You thrive in collaborative environments, working alongside engineers and researchers to validate algorithms in real-world conditions. Your ability to interpret driving restrictions and identify hazards with minimal latency is crucial for the success of autonomous systems. You are detail-oriented and committed to ensuring safety and efficiency in navigation.

What you'll do

As a Machine Learning Engineer at Zoox, you will be responsible for developing algorithms that enhance the environmental understanding of our self-driving robot. You will work closely with the Offline Driving Intelligence team to craft and fine-tune multimodal large language models, ensuring they can efficiently process and analyze data from various sensors. Your role will involve validating these algorithms in real-world scenarios, directly impacting the productivity and safety of our robotaxi platform.

You will collaborate with the onboard team to integrate your models into the autonomous system, ensuring they can interpret driving restrictions and identify hazards effectively. Your contributions will play a vital role in advancing Zoox's mission to create safe and efficient autonomous vehicles. You will also have the opportunity to work with cutting-edge infrastructure and premium sensor data, pushing the boundaries of what is possible in the field of autonomous driving.

What we offer

At Zoox, we offer a dynamic work environment where innovation is at the forefront of our mission. You will have the opportunity to work with world-class engineers and researchers, contributing to groundbreaking advancements in autonomous driving technology. We provide competitive compensation and benefits, along with a culture that encourages collaboration and continuous learning. Join us in shaping the future of transportation with cutting-edge AI technology.