Staff Machine Learning Production Engineer, Cruise
$183.6-270k
Self-driving vehicles
Open for applications
Self-driving vehicles
1001+ employees
Open for applications
$183.6-270k
1001+ employees
Company mission
To create a better world by deploying driverless cars at scale.
Role
Who you are
- If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us
- We are seeking a highly skilled engineer with a passion for machine learning and a proven track record of successfully optimizing inference for ML models
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience in the industry
- Proven experience in developing and deploying machine learning models in a production environment
- Strong programming skills in Python, PyTorch, C++
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Excellent problem-solving and analytical abilities
What the job involves
- As a Staff Machine Learning Production Engineer, you will have the unique opportunity to work on the world's most advanced self-driving vehicles
- Your work will be instrumental in safely connecting people to the places, things, and experiences they care about
- Develop and maintain machine learning models optimization algorithms and pipelines for production systems
- Collaborate with performance team to identify opportunities to enhance ML models
- Implement and deploy ML models optimization at scale, ensuring performance and reliability
- Continuously monitor and improve the performance of ML models in production
- Stay up-to-date with the latest advancements in machine learning and acceleration
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
Insights
Company
Funding (last 2 of 10 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 values
- Stay safe
- Stay focused
- Own it
- Seek truth
- Work together
- Be humble
- Be a customer
Company HQ
China Basin, San Francisco, CA
Articles
Leadership
Craig Glidden
(CEO (Not Founder))Is also currently the Executive Vice President of General Motors in its Legal wing.
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