Apply to Stack AVWhat 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 Machine Learning (ML) Infrastructure team is hiring for strong software engineers at all levels who can provide tools, workflows, datasets and other artifacts to support and accelerate machine learning efforts for Perception, Motion Planning, and other ML teams.
What Success Looks Like:
- Collaborate closely with ML modeling teams across Perception, Motion Planning, and other ML teams to define ML infrastructure requirements and build critical data services.
- Design and develop large scale data pipelines that transform sensor data from vehicles into consumable tool formats for ML modeling teams.
- Leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows.
- Use the latest cloud technologies to design, implement, and test scalable distributed data systems.
- In the first year, you will be responsible for getting the ML tools, datasets, pipelines running efficiently to enable large scale ML development across autonomy.
- Experience in ML training (local and distributed), feature extraction, dataset creation.
- Understanding of ML modeling and concepts around train/test/validation and ML modeling lifecycle.
- Strong programming skills in Python and C++.
- Familiarity with PyTorch, Numpy.
- Experience with large scale distributed systems and pipelines.
- Experience with cloud environment, storage and database management systems (AWS S3, Parquet).
- Experience with workflow systems such as Apache Airflow.
- Passion, Excellence and Safety are our key values. In this role, you will build high impact software and tools to move mission critical ML applications forward.
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.
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.