Outrider is hiring a

Machine Learning Data Engineer

Full-Time
Remote
The company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

The role
Outrider is an ambitious company that aims to solve autonomous vehicles for yard/warehouse operation. We are developing a specialized autonomy platform for 3rd-party electric trucks that enables complex maneuvers in huge warehouse parking lots, among traffic, people, and other complex settings. This is not your generic autonomous vehicle product: we have a specific setting, specific hardware, and specific customers.

We have great financial backing, a clear product in mind, and a highly competent engineering team. We're expanding the team with world-class machine learning & data engineering members.

Now is a time of rapid growth for machine learning usage at Outrider, and to support these exciting projects, a new ML Perception Data team has formed. We are scaling our data collections 100x and increasing the number of projects with plenty of ML solutions . If you enjoy getting in early and having a large impact, this is a great spot to be!

We are building a Data Engine by which we will monitor model performance, identify weak points, source data to fill performance gaps, train, and repeat. If laying the foundation for and building critical new pieces of this overall system sounds exciting, come and join us!

Duties and Responsibilities

  • Collaborate with the Sensors & Integration and Machine Learning teams to ensure we are collecting the right data to meet solution needs
  • Build both local and cloud-hosted robust ETL processes
  • Build and maintain cloud infrastructure for ML model training
  • Build and host services for ML data storage, search, and visualization
  • Integrate our systems with 3rd-party services in the ML space, where needed
  • Design and build systems for hard/rare example mining to improve training datasets

Required Qualifications

  • Intermediate or higher (at least 3 years in software development)
  • Excellent understanding of and experience in AWS/Azure/GCP (ideally AWS) cloud environments
  • Competent with Python
  • Competent with Docker
  • Comfortable with SQL
  • Clear and crisp communicator

Ideal Qualifications

  • Previous experience with production ML systems, infrastructure as code (Terraform, Pulumi, Cloudformation, etc.), database maintenance, web application development (front or back end)

At Outrider, we believe in cultivating an environment where there is diversity of perspectives, experiences, and knowledge with the expectation that we thrive in an inclusive environment. Outrider is committed to a workforce where everyone's opportunities are limitless regardless of race, national origin, gender, age, religion, disability, veteran status, or any others that are protected by law.

To protect yourself against the increasing number of recruiting scams, please make sure that you are communicating with Outrider Technologies, Inc. or one of its employees.  The only way to communicate with us is through our corporate website at www.outrider.ai, through corporate emails utilizing our domain name of @outrider.ai, and through our job board at jobs.lever.co/outrider. Be vigilant when checking domains because imitators often make very small changes to trick the eye. Additionally, please know that Outrider does not use text messaging or public messaging platforms, such as Telegram or Whatsapp, to communicate with candidates and Outrider will never ask an employment candidate for financial information or for payment of any kind.

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