Stack AV · Pittsburgh, PA or Remote ·
Staff engineer designing and building Stack AV's multi-tenant ML training platform — orchestration, dataset pipelines, observability, and performance tuning — to accelerate model iteration for autonomous trucks. Hands-on work with Python/C++, PyTorch, Ray, and Lance alongside ML platform, infrastructure, autonomy, and safety evaluation teams.
Current · New York, NY
General Motors · Sunnyvale, California, United States of America
General Motors · Sunnyvale, California, United States of America
General Motors · Sunnyvale, California, United States of America
About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
If you are an Internal Candidate, please apply via our Internal Job Board.
About the Role:
The ML Training team is dedicated to increasing Stack's AV development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. We are responsible for the overall AI workflow, ranging from dataset curation to training, validation, acceleration, optimization and deployment of large-scale models that power our autonomous vehicles. In addition, this team is in charge of evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.
In this Staff role, you will drive the design and development of a high-performance multi-tenant AI training platform. You will balance hands-on coding with long-term technical direction by operating across ML Platform, Infrastructure, Autonomy and Safety Evaluation teams to accelerate the development of autonomous vehicles across Stack.
Responsibilities:
Qualifications:
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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.
SandboxAQ · Canada