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Senior Machine Learning Engineer II
Prediction
Posted on 10/19/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
CUDA
Data Structures & Algorithms
C/C++/C#
Pytorch
Tensorflow
Python
Requirements
  • BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience
  • Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
  • Extensive experience with machine learning and classification
  • Strong programming skills in Python or C++
  • Excellent mathematical reasoning skills, especially with probability
  • Passionate about self driving car technology and its impact on the world!
Responsibilities
  • 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
  • Considered one of the technical leaders of the department who guides current and future technology choices
  • Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company's need
  • Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into
  • Capable of influencing others and building consensus even over contentious technical debates
Desired Qualifications
  • PhD in machine learning or computer science
  • Experience with ROS, OpenCV, Gazebo, or PCL
  • Experience with CUDA
  • Track record in deploying prediction models into real world environments
  • Experience with autonomous driving technologies
Cruise

1,001-5,000 employees

Self-driving car service
Company Overview
Cruise's is building self-driving vehicles to improve life in our cities. The company makes autonomous, sustainable, self-driving EVs.
Benefits
  • Flexible vacation
  • Paid holidays
  • Paid parental leave
  • Fertility & family expansion benefits
  • 401k matching program
  • Monthly social events
  • Community volunteering programs
  • Healthy meals & snacks for onsite employees
  • Quarterly offsites & working retreats
  • Monthly wellness stipend
  • Mental health support
  • Professional development programs
  • On-site gym in SF HQ
  • Commuter benefits for onsite employees
  • Medical, dental & vision coverage
Company Core Values
  • Stay safe
  • Stay focused
  • Own it
  • Seek truth
  • Work together
  • Be humble