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Machine Learning Engineer - Perception Offline Driving Intelligence

ZooxBoston, MA
On-site Full-time

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Experience Level

Experience

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in machine learning, particularly with large models and multimodal data. Strong programming skills in Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with sensor data processing and algorithm validation in real-world environments. Excellent problem-solving skills and ability to work collaboratively in a fast-paced, innovative environment.

About the job

Join the innovative Offline Driving Intelligence (ODIN) team at Zoox, where we harness cutting-edge AI technologies to develop algorithms that enhance our understanding of the world around us. Our focus is on utilizing large models primarily in offline environments to create impactful solutions for our self-driving robot, facilitating safe and efficient navigation through complex settings.

As a vital member of the ODIN team, you will be tasked with the development of advanced multimodal large language models that significantly improve environmental comprehension. Your role will involve fine-tuning these models for off-vehicle analysis, collaborating closely with the onboard engineering team to implement solutions that enable our robotaxi platform to swiftly identify hazards and interpret driving restrictions with minimal latency. Working alongside a team of esteemed engineers and researchers, you will leverage high-quality sensor data and state-of-the-art infrastructure to validate your algorithms in real-world scenarios, making a direct contribution to the productivity, safety, and capabilities of Zoox's autonomous systems.

About Zoox

At Zoox, we are redefining mobility and transportation through the power of autonomous technology. Our mission is to create a safer, more efficient way for people to travel, and we are dedicated to advancing the future of self-driving vehicles. With a team of visionary engineers and researchers, we focus on groundbreaking AI and robotics to transform urban mobility.

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