Senior Applied Research Scientist - Machine Learning

  • Cruise
  • San Francisco, CA
  • Jul 06, 2020

Job Description

We’re Cruise, the self-driving ride-hailing service.

We are 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.

At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.

The Autonomous Vehicle (AV) software stack heavily relies on machine learning. Throughout the lifecycle of each machine learning model, skilled ML engineers work closely to design, build, train, and deploy machine learning models into our unique AV systems. In this position, you will work closely with machine learning engineers from different AV Engineering teams (e.g. Computer Vision, Prediction), covering different algorithms across the AV software stack. If you're interested in solving some of the most exciting machine learning problems in the industry, then chat with us!

What you'll be doing:

  • Research, design, and develop new machine learning solutions and algorithms.
  • Drive high level algorithm decisions to ensure fast and accurate machine learning in a multitude of different applications
  • Implement cutting edge machine learning techniques in object classification, labelling, pose estimation, and prediction
  • Use real-time state estimation and context from surroundings to predict the motion of surrounding vehicles and pedestrians for use with vehicle path planning
  • Work on data association, clustering, segmentation, filtering, and estimation
  • Build robust, reliable systems to handle common and uncommon situations on the road

What you must have:

  • PhD or MS in CS/CE/EE, or equivalent industry experience
  • Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
  • 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
  • Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization

Bonus points!

  • Experience with Hidden Markov Models (HMMs)
  • Experience with ROS, OpenCV, Gazebo, or PCL
  • Experience with CUDA
  • Experience in deploying perception algorithms into real world environments

Why Cruise?

  • Our benefits are here to support the whole you:
    • Competitive salary and benefits 
    • 401(k) Cruise matching program 
    • Medical / dental / vision, AD+D and Life
    • Flexible vacation and company paid holidays
    • Healthy meals and snacks provided
    • Paid parental leave & family expansion stipend
    • Monthly wellness stipend
    • Commuter benefits
  • We’re Integrated
    • Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
  • We’re Funded
    • GM, Honda, SoftBank, and T. Rowe Price 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.
  • We’re Independent
    • We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the bleeding-edge of technology, but also define it.
  • We're Vested
    • You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow. 

Cruise LLC is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with Cruise to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way.

We also consider for employment qualified applicants regardless of criminal histories, consistent with applicable laws.  And, if you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.

Organization type

Company  

Headcount

1001-5000 employees  

Categories

Transportation & Mobility