Research Operations Specialist (Neural Network Quality & Experimentation)
CanadaJob Description
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You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
Characterize neural network quality, failure modes, and edge cases based on research data
Maintain awareness of current trends in relevant areas of research and technology
Coordinate with researchers and accurately convey status of experiments
Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
Review experimental results and suggest theoretical or process improvements for future iterations
Write technical reports indicating qualitative and quantitative results to external parties
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Proficiency in Python
Proven ability to thrive in a fast-paced environment
Ability to communicate complex technical concepts to colleagues and a variety of audiences
Introspection, thoughtfulness, and detail-orientation
The following are a plus, but not required:
Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
Experience reading research papers and implementing the techniques therein
Computer vision and deep learning experience
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Helm.ai
View Company ProfileHelm.ai (operating via helm.ai) builds next-generation AI software for autonomous driving and robotics. Founded in 2016 and headquartered in Redwood City, California, the enterprise leverages its proprietary Deep Teaching™ methodology—a uniquely data and capital-efficient approach that fundamentally surpasses traditional autonomous systems. Moving far beyond the limitations of manual human annotation and massive simulation dependencies, Helm.ai natively unifies unsupervised learning architectures to train neural networks in a highly scalable, hardware-agnostic environment. The company partners with some of the world's largest automotive manufacturers and is backed by over $100M in funding from strategic industry giants like Honda, Goodyear Ventures, and Mando. Under the hood, their technology core focuses on robust multi-tenant data lakes, productionized machine learning workflows, and distributed data-processing pipelines engineered to deploy autonomous technologies that are dramatically safer and more accessible. Capturing massive market acceleration, Helm.ai remains a definitive cornerstone of the modern mobility revolution, integrating its advanced perception, intent modeling, and path-planning software into hundreds of millions of vehicles globally.
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