Full-Time

Senior Machine Learning Engineer II

Behaviors

Posted on 4/30/2024

Cruise

Cruise

1,001-5,000 employees

Develops electric autonomous vehicles

Industrial & Manufacturing
Data & Analytics
Hardware

Senior

San Francisco, CA, USA

Required Skills
Python
Tensorflow
CUDA
Data Structures & Algorithms
Pytorch
Computer Vision
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
  • PhD in machine learning or computer science (Bonus)
  • Experience with ROS, OpenCV, Gazebo, or PCL (Bonus)
  • Experience with CUDA (Bonus)
  • Track record in deploying prediction models into real-world environments (Bonus)
  • Experience with autonomous driving technologies (Bonus)
Responsibilities
  • Exploring, prototyping, validating, and iterating new algorithms
  • Driving efforts to optimize, supervise, and refine on-road performance for models on the path to production
  • Guiding current and future technology choices as a technical leader
  • Understanding the business and operational impact for different technology tradeoffs
  • Enabling other engineers on the team through design and code contributions
  • Influencing others and building consensus in technical debates

Cruise is developing all-electric and emission-free self-driving vehicles, prioritizing safety and accessibility through testing in urban environments and integrated manufacturing at scale. Their technology approach involves advanced autonomous systems and electric vehicle technology.

Company Stage

Series A

Total Funding

$13.7B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

-20%

1 year growth

-15%

2 year growth

13%

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

INACTIVE