About
With customers at its core, Stack AV is focused on revolutionizing the way businesses transport goods, designing solutions to alleviate long-standing issues that have plagued the trucking industry including driver shortages, lagging efficiency in uptime per vehicle, overarching safety concerns, high operating costs, and elevated emission levels. By building safe and efficient autonomous trucking solutions, Stack AV is creating better and smarter supply chains for its partners, improving business outcomes for its customers, delivering goods to end-users faster, and ultimately moving the trucking industry forward.
What We're Looking For
We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster and more efficient. We seek mission-driven, highly skilled people with deep experience in fast paced, rapidly growing, tech development environments.
The overall mission of the ML Fundamentals team is to provide a smooth and delightful developer experience for Autonomy engineers (with emphasis on model development). What this means in practice is to optimize the time it takes to have a sustainably fast cycle time for going from a requirement (a new capability or fixing a road issue) to a deployed model that addresses the requirement while adhering to safety, which is a non-negotiable requirement for Stack AV.
What Success Looks Like
- Experience with both ML Platforms and building ML-based applications (bonus point if you have modeling experience).
- Experience building scalable, reliable infra at a fast-paced environment.
- Ability to work across teams.
- Experience building or using ML infra built for a large number of customer teams.
- A deep understanding of design tradeoffs and ability to articulate those tradeoffs and work with others on getting alignment.
- Experience with building ML models or ML infra in the domains of autonomous vehicles, perception, and decision making (desirable but not required).
- Experience with model training, model optimization, or large data processing pipelines.
We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.
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