Senior Machine Learning Engineer II, Perception

May 7

Cruise

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A self-driving service designed for the cities we love. Sign up to take fully driverless rides: getcruise.com

Self-Driving Cars • Autonomous Vehicles • Robotics • Artificial Intelligence (AI) • Deep Learning

1001 - 5000

Description

•From a research perspective, exploring, prototyping, validating, and iterating new algorithms • On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production • This role will support the hardware organization. Likely projects will include sensitivity studies for hardware selection as well as architecture investigations. • Champion of the highest quality in engineering, crafting solutions and not just identifying problems

Requirements

• Solid understanding of computer vision fundamentals including the development and training of ML models • Perform first principles analysis of perception models and experiments to support HW sensor development. • Be able to run and retrain Cruise perception machine learning models and evaluate model performance (PR, other metrics) • Must be able to work independently and multi-functionally between HW and perception teams. • Willing to be hands on with sensor data; has a practical understanding of experimental data and hardware versus purely theoretical. • Basic knowledge of sensing physics and awareness of different sensing modalities (lidar, cameras, radars, ultrasonic sensors, etc.) • Growing expertise with ML frameworks such as Tensorflow, Caffe, and PyTorch • Strong programming skills in Python, C++, or other relevant languages • Passionate about self-driving car technology and its impact on the world! • PhD in machine learning or computer science (Bonus points!) • Research experience developing computational cameras, physics-based computer vision systems, or other research at the intersection of CV/ML and sensor development. (Bonus points!) • 4+ years of industry experience in Machine Learning (Bonus points!) • Experience and growing expertise with ROS, OpenCV, Gazebo, or PCL (Bonus points!) • Track record in deploying perception algorithms into real-world environments (Bonus points!) • Experience and growing expertise with autonomous driving technologies (Bonus points!)

Benefits

• Competitive salary and benefits • Medical / dental / vision, Life and AD&D • Subsidized mental health benefits • Paid time off and holidays • Paid parental, medical, family care, and military leave of absence • 401(k) Cruise matching program • Fertility benefits • Dependent Care Flexible Spending Account • Flexible Spending Account & Health Saving Account • Perks Wallet program for benefits/perks • Pre-tax Commuter benefit plan for local employees • CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).