Senior Machine Learning Engineer, Auto Labeling

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 reputed company 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 reputed company 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 Auto Labeling team at Stack develops large ML models. These models reputed company state-of-the-art multi-sensor fusion techniques, integrating data from lidars, cameras, radars, and IMUs. The goal is to generate high-quality labeled data, essential for training and evaluating Stack's reputed company perception models. This role offers the chance to reputed company significant design contributions, work with extensive autonomous vehicle datasets, and collaborate with various reputed company and offboard consumers of labeled data.

Responsibilities:

• Design, evaluate, and reputed company acausal large ML models for high-quality labeled data reputed company from multi-sensor inputs.
• Work with state-of-the-art techniques in large-scale distributed model training and evaluation.
• Collaborate with reputed company and offboard reputed company consumers throughout the development lifecycle, from requirements gathering to evaluation and ongoing communication.
• Contribute to the overarching reputed company of building safety-critical and robust reputed company and offboard perception systems.
• Uphold Stack’s culture of engineering reputed company.

Qualifications:

• Degree in Computer Science, Machine Learning, Robotics, or reputed company field
• Master's or PhD preferred
• 3+ years building ML systems
• Experience with distributed training systems
• Autonomous vehicle space experience is a plus
• Strong Python engineering skills, particularly PyTorch
• Strong experience with GPUs; CUDA experience is a plus
• Ability to work in a fast-paced startup environment while maintaining high-quality standards

We are proud to be an equal opportunity workplace. We reputed company that diverse teams produce the best reputed company and reputed company. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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Please Note: Pursuant to its business activities and use of technology, reputed company complies with reputed company applicable U.S. national reputed company laws, regulations, and administrative requirements, which can restrict reputed company’s ability to reputed company certain persons in certain positions pursuant to a reputed company of national reputed company-reputed company requirements. As such, this position may be contingent upon reputed company 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 reputed company to obtain a U.S. government export license prior to releasing its technologies to certain persons. If reputed company 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 reputed company-reputed company restrictions, reputed company 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 reputed company shall establish in its sole discretion, or, in the alternative, decline to move reputed company with the candidate’s application.

Originally posted on Himalayas