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Staff Software Engineer - Continuous Learning

Aurora InnovationSan Francisco, California
On-site Full-time $189K/yr - $303K/yr

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Experience Level

Mid to Senior

Qualifications

QualificationsBachelor's Degree in Computer Science or a related field. Proven experience in machine learning, data analysis, or software engineering. Strong analytical skills with a passion for working with large datasets. Experience with RLHF techniques and foundation models. Excellent collaboration and communication skills.

About the job

About Us

At Aurora, we are on a mission to redefine transportation by delivering self-driving technology that is safe, efficient, and accessible to all.


Explore The Aurora Driver and join us in creating a transformative future in mobility and logistics.

At Aurora, you will engage with challenging problems alongside a team of passionate experts, fostering your growth as you expand your expertise. Stay updated with our latest developments through aurora.tech or connect with us on LinkedIn.

We are looking for a Staff Software Engineer to join our Autonomy Data: Continuous Learning team. This role is ideal for individuals eager to delve into complex models and datasets. You will utilize cutting-edge foundation models and Reinforcement Learning with Human Feedback (RLHF) techniques to enhance our models with high-quality data and to construct the datasets that drive the Aurora Driver.

Your Responsibilities

  • Enhance dataset quality by developing semi-automated evaluation mechanisms using state-of-the-art models and RLHF techniques.
  • Broaden our foundation model strategy for identifying noteworthy events over millions of miles.
  • Take ownership of model training and inference pipelines for all core autonomy models.
  • Collaborate across various teams (product, program, operations, data science) to manage projects from conception through to delivery.

About Aurora Innovation

Aurora Innovation is dedicated to revolutionizing the transportation industry by making self-driving technology safe and accessible to everyone. Join us to contribute to a future filled with innovative mobility solutions.

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