Job description
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.
About the Role:
The ML Fundamentals team develops the core tooling to empower ML engineers to operate faster and more reliably. The ML Fundamentals team is responsible for the key building blocks that power ML training, model acceleration, model deployment, and ML overall developer experience.
As the ML Fundamentals TLM, you will drive the vision and lead development of the key tools that power ML development at Stack.
Responsibilities:
- Lead a team of engineers to develop critical ML tooling and algorithms to 1) support autonomous driving development and release, 2) increase training and inference performance and reliability; and 3) optimize the ML development lifecycle.
- Set the technical direction for the team, and work cross-functionally to develop tooling that improves safety.
- Partner with other teams across the company to identify key requirements, dependencies, and prioritize the key use cases that support business outcomes.
- Define the strategy and optimize cloud resource utilization at Stack, focusing on maximizing ML training performance.
- Proactively identify bottlenecks and limitations in ML developer efficiency and product quality across the company, and develop novel solutions to improve dev iteration speed and safety/reliability.
- Drive execution of the team’s roadmap, review their code and SW architecture, and deliver features in lockstep with key partners.
Qualifications:
- Experience with strong, hands-on leadership of a team of engineers.
- Experience with distributed ML training frameworks and ML training optimization.
- Experience with common ML release workflows, and building tooling that improves developer efficiency and product quality.
- Strong experience in software engineering and software architecture.
- Knowledge of Python and C++.
- Experience with architecting, training, and deploying Deep Learning Models is a plus.
- Experience with CUDA a plus.
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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.
