We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.
Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. 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. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.
The Traffic Lights and X-Object understanding team works to build robust capable models that help the Cruise vehicles understand and safely interact with the world around it. These models help classify fine grained semantic information concerning Vulnerable Road Users (VRUs) and other critical objects in the vehicle's environment, identify and comply with directives from humans controlling traffic or from Traffic control devices, such as Traffic lights or caution tape. The team helps ensure a high safety bar as well as predictable interactions with VRUs and comfortable driving, crucial for both legal compliance and demonstrating responsible roadmanship.
We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems. This adaptable role implements a wide spectrum of applied ML and sensor research, and model development to overcome challenges on urban roads.
Ideal candidates would possess a strong background in machine learning, particularly in developing algorithms for perception and overall machine learning workflow. Experience in multi-task learning, feature extraction, and model architecture as well as working with downstream models to leverage perception signals is highly valued. The team seeks individuals who are passionate about improving road safety for VRUs and are eager to contribute to the development of innovative solutions that enhance Cruise's autonomous vehicle technology.
- From a research perspective, exploring, prototyping, validating, and iterating new algorithms
- On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production
- This role will support the hardware organization. Likely projects will include sensitivity studies for hardware selection as well as architecture investigations.
- Champion of the highest quality in engineering, crafting solutions and not just identifying problems
- Solid understanding of computer vision fundamentals including the development and training of ML models
- Perform first principles analysis of perception models and experiments to support HW sensor development.
- Be able to run and retrain Cruise perception machine learning models and evaluate model performance (PR, other metrics)
- Must be able to work independently and multi-functionally between HW and perception teams.
- Willing to be hands on with sensor data; has a practical understanding of experimental data and hardware versus purely theoretical.
- Basic knowledge of sensing physics and awareness of different sensing modalities (lidar, cameras, radars, ultrasonic sensors, etc.).
- Growing expertise with ML frameworks such as Tensorflow, Caffe, and PyTorch
- Strong programming skills in Python, C++, or other relevant languages
- Passionate about self-driving car technology and its impact on the world!
- PhD in machine learning or computer science
- Research experience developing computational cameras, physics-based computer vision systems, or other research at the intersection of CV/ML and sensor development.
- 4+ years of industry experience in Machine Learning
- Experience and growing expertise with ROS, OpenCV, Gazebo, or PCL
- Track record in deploying perception algorithms into real world environments
- Experience and growing expertise with autonomous driving technologies
- Competitive salary and benefits
- Medical / dental / vision, Life and AD&D
- Subsidized mental health benefits
- Paid time off and holidays
- Paid parental, medical, family care, and military leave of absence
- 401(k) Cruise matching program
- Fertility benefits
- Dependent Care Flexible Spending Account
- Flexible Spending Account & Health Saving Account
- Perks Wallet program for benefits/perks
- Pre-tax Commuter benefit plan for local employees
- CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).
- Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
- GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.
What We Do
Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about.
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale, building all-electric, zero-emission, self-driving vehicles that will help save lives, reimagine cities, reduce carbon pollution, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings.
Together, we believe our world-class partners, deep resources, and technology approach of testing in a complex urban environment will help to deliver self-driving vehicles at scale.
Why Work With Us
Your work on all-electric, self-driving vehicles will save lives, help the planet, and make cities better. It’s something to be proud of...and it’s career-defining work.
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