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Software Engineer - MLDE Labels Platform

Aurora InnovationSeattle, Washington
On-site Full-time $126K/yr - $201K/yr

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Experience Level

Experience

Qualifications

Qualifications:Proven experience in software engineering, with a strong focus on machine learning and data operations. Familiarity with ML Ops methodologies and tools. Ability to work collaboratively across diverse teams. Strong problem-solving skills and a passion for innovation.

About the job

About Us

At Aurora, our mission is to safely, swiftly, and broadly deliver the benefits of self-driving technology.


The Aurora Driver is set to revolutionize mobility and logistics, paving the way for a safer, more efficient, and accessible future for everyone.

At Aurora, you will confront complex challenges alongside passionate, intelligent teammates, enhancing your expertise while broadening your knowledge. For the latest news, check out aurora.tech or follow us on LinkedIn.

We are seeking a Software Engineer to join our Machine Learning Data Engine: Labels Platform team. This team is dedicated to managing production services that support high-volume data labeling operations. We also provide data models and service interfaces for various autonomy data consumers, as autonomy performance heavily relies on data quality, selection, and volume. In this role, you will engage in mission-critical projects and develop innovative, industry-leading ML Ops solutions. Aurora is in a unique position to excel in this field due to our comprehensive toolchain encompassing data collection, labeling, model training, and evaluation.

Your Responsibilities:

  • Implement production best practices to enhance platform reliability.
  • Develop new features for labeling applications.
  • Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from inception to completion.
  • Utilize ML Ops best practices to enhance data coverage and quality.

About Aurora Innovation

Aurora Innovation is committed to advancing self-driving technology for a safer, more efficient future. Our team comprises talented individuals from various backgrounds, all dedicated to creating a transformative transportation ecosystem.

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