Job Directory Machine Learning Research Engineer - CVPR

Machine Learning Research Engineer - CVPR
Santa Monica, CA

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Job Description

Aptiv Autonomous Mobility

Our real-world mobility solutions are driving us toward a safer, greener and better connected future. Aptiv is providing the "brain" and "nervous system" for vehicles that will change the face of mobility for people worldwide.

Aptiv's Autonomous Mobility team is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Aptiv was the first company to deploy a commercial, point-to-point autonomous ride-hailing service based in Las Vegas, Nevada.

In November 2017, Aptiv acquired autonomous vehicle software startup nuTonomy, an integral part of Aptiv's Autonomous Mobility team. With continued research, development, and both current and future commercial deployments, we are looking for talented and passionate people to join our team.

Work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility. At Aptiv, we believe that our mobility solutions have the power to change the world. For more information, please visit www.aptiv.com/our-journey and see our www.aptiv.com/careers for opportunities.

We are seeking a highly talented Machine Learning Research Engineer in Santa Monica, CA to support a variety of teams and projects.

In this role you would work closely with other researchers & engineers to build a fully-integrated autonomous driving stack. Aptiv's goal is to create provably safe and efficient vehicles, so we particularly value a rigorous statistical background and expertise regarding providing rigorous performance bounds.

To support your work, you will be able to use a state-of-the-art scalable computing, simulation, and testing environment, as well as a vast database of well annotated data from nuTonomy's fleet of autonomous vehicles. You will work together with an awesome group of motivated colleagues, both industry professionals as well as leading researchers from academia, who like to approach problems with both creativity and rigor, to push beyond the state of the art.

What You'll work on:

* Analyze logs to identify problem areas and improvement opportunities.
* Mine driving logs for anomalies & corner cases.
* Develop an 'active learning' feedback loop for our DL / ML systems.
* Define system documentation, metrics, measurements.

Required Skills, Education and knowledge:

* Deep understanding of common Machine Learning and Deep Learning algorithms.
* Practical experience in data science, statistics, and analysis of large data sets.
* Fluency in in a modern programming language, such as C++ and/or Python.
* Phd or Ms in Computer Science or similar preferred.

Desired Skills:

* Experience using data modeling tools such as Pandas or Hadoop.
* Familiarity with autonomous robotics and vehicle systems.
* Relevant industry experience.
* Proven track record of publications in relevant conferences (CVPR, ICML, NIPS, ICCV, ICLR…)
* Familiarity with C++, CUDA, Git, CMake, continuous integration tools and the agile development process.
* Familiarity with backend services in C# a plus

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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