Sr/Staff ML Engineer, Manipulation
Diligent RoboticsFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Mountain View, California, United States
Key technologies and capabilities for this role
Common questions about this position
The salary range for this role is $143,000 to $220,000. The actual base salary will vary based on factors relevant to the position.
This role is categorized as hybrid, requiring the successful candidate to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum.
Required qualifications include a Bachelor’s, Master’s or PhD in Computer Science with a focus in Robotics or Machine Learning, proven experience with large-scale Foundation Models like LLMs and VLAs, proficiency in PyTorch and TensorFlow, strong data processing skills with Numpy, Pandas, and Apache Spark, and experience in Robotics or Autonomous Driving.
You will work closely with a dynamic team of AI and ML researchers, data scientists, and engineers passionate about leveraging advanced AI techniques, contributing to a culture of knowledge sharing, continuous improvement, and mentoring junior team members.
A strong candidate will have a degree in Computer Science focused on Robotics or Machine Learning, hands-on experience deploying large-scale Foundation Models in production, proficiency in PyTorch/TensorFlow and data tools, plus prior work in Robotics or Autonomous Driving, along with excellent communication skills.
Designs, manufactures, and sells vehicles
General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.