Simplify Logo

Full-Time

Staff Machine Learning Engineer

Tracking

Posted on 6/5/2024

Cruise

Cruise

1,001-5,000 employees

Develops electric autonomous vehicles

Data & Analytics
Robotics & Automation
Automotive & Transportation
Hardware
Industrial & Manufacturing
Energy
Social Impact
AI & Machine Learning

Expert

San Francisco, CA, USA

Category
Applied Machine Learning
Robotics & Autonomous Systems
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Computer Vision
Requirements
  • PhD / MS degree in computer vision, machine learning or a related field
  • Track record of driving applied deep learning projects
  • 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
  • Expertise in setting architectures that are scalable, efficient, fault-tolerant
  • Ability to design across multiple systems
  • Strong verbal and written communication skills
Responsibilities
  • Explore, prototype, validate, and iterate new algorithms and strategies
  • Drive efforts to optimize, supervise and refine on-road performance for models in production
  • Guide current and future technology choices
  • Enable other engineers on the team to be more effective through design and code
  • Influence others and build consensus over 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

-18%

1 year growth

-23%

2 year growth

-1%

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