Staff Machine Learning Engineer, Cruise
Perception
$193.9-285k
Self-driving vehicles
Job no longer available
Self-driving vehicles
1001+ employees
Job no longer available
$193.9-285k
1001+ employees
Company mission
To create a better world by deploying driverless cars at scale.
Role
Who you are
- 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
Desirable
- PhD in machine learning or computer science
- Experience with ROS, OpenCV, Gazebo, or PCL
- Experience with CUDA
- Experience in deploying perception algorithms into real world environments
What the job involves
- On the research end, the ML engineer explores, prototypes, validates, and iterates new algorithm
- On the development end, the ML engineer optimizes, productionizes, and monitors / refines on-road performance for their models
- 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
Our take
The taxi industry has seen dramatic changes through mobile vehicle-hailing apps such as Uber, but these services focus simply on ease-of-access to regular taxi services. The automotive industry has seen a vast range of innovations in recent years such as electric cars and self-driving capability, features that are currently not found in existing services.
Cruise brings self-driving autonomy and electric cars together into a taxi-hailing mobile application. In addition to these innovations, the service focuses on efficiency through ride-sharing as opposed to each ride providing a single trip. Whilst other taxi-hailing services will inevitably turn to electric self-driving vehicles, Cruise shows potential to stand out through its AI-fuelled focus on carpooling and fleet efficiency.
Cruise, which has been acquired by General Motors, has received an inordinate amount of funding, including from Honda and Microsoft, with Softbank investing over $2B to scale its technology. A sum of this came after Cruise launched a limited driverless robotaxi service to the public in San Francisco. However, the company is now facing lawsuits from the city to limit its operations there after a series of accidents involving Cruise's vehicles.
Freddie
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Jun 2024
$850m
LATE VC
Feb 2022
$1.3bn
GROWTH EQUITY VC
Total funding: $9.1bn
Company benefits
- Medical / dental / vision, AD+D and life insurance
- Subsidized mental health benefits
- One Medical membership
- Flexible Spending Account
- Monthly wellness stipend
- 401(k) match
- Paid time off: vacation, sick, public health emergency, jury duty, bereavement and company holidays
- Paid parental, family care and medical leave
- Family care benefits: fertility benefits, Dependent Care Flexible Spending Account (subsidized by Cruise)
- Non-remote employees: Pre-tax Commuter Benefit Plan, healthy meals and snacks
- CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time
Company HQ
China Basin, San Francisco, CA
Leadership
Craig Glidden
(CEO (Not Founder))Is also currently the Executive Vice President of General Motors in its Legal wing.
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