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 Data Science and Analytics team is dedicated to building metrics and models to explain and diagnose the performance of our AV technology. Our team guides strategic decision making through statistical analysis and experimentation, and improves the AV stack with data driven models, decision thresholds, and simulation testing. As a valued member in our data scientist team, you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
What you’ll be doing:
You will work directly with an array of partners, including Autonomous Vehicle (AV) engineers, product managers, and operations teams. You will work on extracting high-impact insights from our extensive collection of on-road and simulation data by:
Identifying on-road driverless risk (collisions, near misses, exposure trends), including apply statistical rigor to make sure trends are statistically significant, helping assess whether a certain software release should be promoted to production using on-road + simulation results, and using sequential testing to monitor launches in new cities and advise for fleet reduction based on real-time data pipelines
Building scene selection of bad AV behavior (build robust machine learning models to auto-identify poor behavior)
Using text descriptions (Natural Language Processing) of collisions and near miss collisions to auto-generate clusters of failure modes in both on-road and simulation
Quantifying the impact of software changes using simulation, statistical methods, data mining, and experimental design principles
Collaborating with team members to build shareable tools, methods, and dashboards
Converting insights into concrete, significant recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership
The ideal candidate for this role is passionate about the AV Industry, has a track record of discovering insights from extensive data, and works to discover and address customer needs through their output.
What you must have:
A Bachelor or Masters degree or equivalent experience.
3+ years post-academic experience in data science, machine learning, or a closely-related field.
Significant statistical experience in data-intensive on-line systems. Examples include real-time metrics tracking systems and A/B testing methodologies.
Experience deploying feature and model pipelines at scale, and monitoring model performance.
Experience designing, training, and critically analyzing ML models for big data.
Experience developing and maintaining automated reporting tools for management and other partners.
Productive in both SQL and Python.
Creative, inventive, and passionate about seeking new solutions to problems and opportunities
A track record of leading multi-functional initiatives
A PhD degree or equivalent experience.
Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow
Experience with Deep Learning and statistical analysis of ML models
Experience in AV or Automotive industry
The salary range for this position is $116,300 - $165,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.
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
Subsidized mental health benefits
Flexible vacation and company paid holidays
Healthy meals and snacks available for non-remote employees
Paid parental, jury duty, bereavement, family care, and medical leave
Dependent Care Flexible Spending Account
Flexible Spending Account
Pre-tax Commuter Benefit Plan for non-remote employees
CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here
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.
We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
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. We offer a new kind of equity program called Recurring Liquidity Opportunity (RLO), which combines IPO-like liquidity with the stability of remaining private - learn more about RLO here
We’re Safety Conscious
- We integrate #staysafe, our top priority at Cruise, into our everyday work. Through our Safety Management System, every Cruiser is asked to do their part by reporting any potential issues or hazards they observe and making continuous improvements. You’ll be able to contribute to safety at Cruise, no matter your job function or title.
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. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
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.
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.