Phd New Grad, Machine Learning Engineer, Prediction

Cruise Automation San Francisco , CA 94118

Posted 3 weeks ago

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 Machine Learning Engineer is a versatile role in Perception and Prediction that drives a wide spectrum of applied ML research and development that tackle challenges on urban roads.

What you'll be doing:

  • On the research end, the ML engineer explores, prototypes, validates, and iterates new models and algorithms

  • On the development end, the ML engineer optimizes, productionizes, and monitors / refines on-road performance for their models

  • Invent pragmatic long term and stable software solutions to complex problems

  • Champion engineering excellence, coming up with solutions not just identifying problems

What you must have:

  • Completing or recently completed PhD in CS/CE/EE, or equivalent industry experience

  • Extensive experience with deep learning frameworks such as Tensorflow, Caffe, and PyTorch

  • Strong experience with deep learning

  • 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

Bonus Points!

  • 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.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Staff Machine Learning Researcher / Research Engineer Cortex Recommender Systems Research


Posted 1 week ago

VIEW JOBS 10/14/2020 12:00:00 AM 2021-01-12T00:00 Staff Machine Learning Researcher / Research Engineer - Cortex Recommender Systems Research Locations San Francisco, Seattle, Boulder Company description At Twitter, we would like to connect people with the conversations, topics and content that are most relevant to them, in real-time. We are a community of Machine Learning Researchers and Engineers, working to drive Twitter's research in recommender systems. We tackle local and global technical challenges amongst product teams through a range of systems - e.g. timelines ranking, push notifications, email notifications and ads predictions. We operate at scale whilst ensuring fair and ethical use of our models and data. Job description Apply your research expertise to improve our ML-driven recommender system products, help us develop new solutions and unlock new directions, as well as analyse and optimise the systems we already have. You'll work closely with product teams and mentor them on best practices for modern ML, and keep the wider team informed on the state-of-the-art. In addition, you will be in a strategic position to influence future roadmaps for Twitter's recommender system products. Who you are: You have a depth of knowledge in a ML-driven field - e.g. Probabilistic modeling, Reinforcement learning, Deep learning etc and you are interested in applying your knowledge and skill set to one or more challenges of our product areas - e.g. media / content understanding, new item/user modeling, temporal modeling, model performance optimisation. You are passionate about the way we develop state-of-the-art technologies and are excited by the application of theory to real-world problems. You keep up to date with the latest developments in the field and look for ways to apply them to your current work/role. Qualifications * Master, Post-graduate or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience * Good theoretical grounding in core machine learning concepts and techniques * Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints. * Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, reinforcement learning etc * Familiarity with one or more DL software frameworks such as Tensorflow, PyTorch Nice to haves: * Experience with large-scale systems and data, e.g. Hadoop, distributed systems * Publications in top conferences such as ICLR, NIPS, ICML, RECSYS, CVPR, ICCV, ECCV, etc * Experience with one or more of the following: * Recommender Systems * Model optimisation * Deep Learning * Prediction / Inference (e.g. Bayesian) * Online Learning * Reinforcement Learning Additional information We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Engineering hiring process Step 1 Once your application is received, a recruiter will reach out pending your qualifications are a match for the role. Step 2 If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role. Step 3 If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people via a video conference call. Twitter San Francisco CA

Phd New Grad, Machine Learning Engineer, Prediction

Cruise Automation