Stack AV - Staff Machine Learning Engineer, Vehicle Behaviors
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Requirements
• Strong Python skills • Experience with key ML libraries like PyTorch and TensorRT • Experience with cloud orchestration tools like Flyte • Exceptional written and verbal communications skills • Experience developing code for real-world robotics/semi-autonomous platform • 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. • Check out our Privacy Policy. • 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. • Please Note:
Responsibilities
• Design, scope, implement, and integrate machine learning systems to solve on-vehicle behavior problems in a real-time, resource-constrained environment. • Develop tooling and infrastructure necessary to measure and iterate on ML models • Provide input in the technical direction for the team, and work cross-functionally to develop safe systems. This will include working closely with other teams such as perception, localization, and controls to ensure that the input to the motion planning modules is appropriate. • Work closely with systems engineers to ensure a safe, well tested product is delivered. • Work closely with verification teams to ensure proper testing and validation of the motion planning modules. Make extensive use of unit testing, simulation, and log simulation to properly validate their work. • Collaborate with other autonomy teams including perception, localization, controls, etc. to ensure solutions are appropriate for real-world performance • Provide input to team roadmaps and ensure product features are properly prioritized. • Identify bottlenecks and limitations in system performance, and develop novel motion planning components to unlock new capabilities and ensure a reliable system. • Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.
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