Senior Staff Machine Learning Engineer
Updated on 5/12/2023
Remote • United States
Experience Level
Desired Skills
Computer Vision
Data Structures & Algorithms
  • PhD / MS degree in computer vision, machine learning or a related field with multiple research publications in top conferences or journals; alternatively equivalent years of industry experience solving ML problems which do not have readily-available solutions
  • Track record of driving deep learning applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
  • Track record of cross organization impact
  • Strong programming skills in Python and/or C++
  • Extensive experience with ML frameworks such as Tensorflow, Caffe, or PyTorch
  • Excellent mathematical and physical reasoning skills, especially with probability
  • Strong verbal and written communication skills
  • Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes over time without major disruptions
  • Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain
  • Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need
  • From a research perspective, exploring, prototyping, validating, and iterating new algorithms and strategies
Desired Qualifications
  • PhD in machine learning, computer vision, or robotics
  • Experience in deploying perception algorithms and models into real-world environments
  • Experience with object tracking, especially multi-sensor and/or multi-object tracking

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.
  • 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