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Climatetechlist

Senior Machine Learning Engineer II, ML Data Mining and Search

Climatetechlist, San Francisco, California, United States, 94199


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 ML Data Shop team is part of the data centric AI/ML infrastructure vital for Cruise’s success. We build a highly reliable, scalable, and cost effective platform to search for impactful on-road scenarios, label the data, prepare the resulting dataset for model training, and close the model performance feedback loop.We are looking for an engineer to join a high performing team delivering a data search and mining platform to surface vital data for Cruise’s ML data needs.What you’ll be doing:

From a research perspective, exploring, prototyping, validating, and iterating new algorithms / model.

On the development side, driving efforts to optimize, evaluate and refine on-road performance for models on the path to production.

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.

What you must have:

BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience.

Extensive experience with machine learning and classification.

Extensive experience with data processing and management.

Strong programming skills in C++ and Python.

Excellent mathematical reasoning skills, especially with probability.

Active team player in complex environments.

Experience with autonomous driving or robotic technologies.

Passionate about self driving car technology and its impact on the world!

Bonus points!

PhD in Machine Learning or Computer Science.

Experience with ROS, OpenCV, Gazebo, or PCL.

Experience with CUDA.

Experience with Vector Search Engine.

Track record in deploying prediction models into real world environments.

The salary range for this position is

$161,200 - $237,000 . Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.Why Cruise?

Our benefits are here to support the whole you: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.Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.Candidates applying for roles that operate and remotely operate the AV:

Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

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