Engineer, Machine Learning Data

Remote - Germany (EU)

Applications have closed

Outrider

Autonomous yard operations have set a new standard. Yard automation transforms yard operations into an efficient, safe, and sustainable solution.

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The companyOutrider 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
Outrider is an ambitious company that aims to solve autonomous vehicles for yard/warehouse operation. We are building a special electric truck that can achieve complex maneuvers in huge warehouses, among traffic, people and other complicated 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 highly competent engineering team. Now, we want to expand on critical hires.
Now is a time of rapid growth for ML 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!

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, additional 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Azure Docker Engineering ETL GCP Machine Learning Model training Python SQL Terraform

Perks/benefits: Career development

Regions: Remote/Anywhere Europe
Country: Germany
Job stats:  48  5  0

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