Collaborate with researchers to run and evaluate experiments, characterize neural network performance and failure modes, communicate results, and recommend improvements to research processes and future iterations.
Helm-AI jobs
Helm.ai develops AI models for autonomous driving, including perception, planning, and simulation.
8 open roles at Helm-AI
Characterize neural network performance and failure modes, coordinate research experiments, analyze results, and communicate findings through technical reports while helping improve future research iterations.
Design and validate motion-planning software for autonomous vehicles, from behavior decisions and trajectory generation to real-time integration, safety verification, and testing in simulation and on-road scenarios.
Develop production-ready machine learning workflows and the infrastructure, data pipelines, APIs, and CI/CD tools that support training, validating, and deploying neural networks.
Develop and extend algorithms for large-scale unsupervised learning and perception, build tools for deep learning experiments, and collaborate with software and autonomous vehicle engineers to deploy models on vehicle platforms.
Develop and improve AI models for unsupervised learning and perception, build tools for deep learning experiments, and collaborate with software and autonomous vehicle engineers to deploy algorithms on vehicle platforms.
Design and deliver reliable real-time software for autonomous vehicle systems, optimizing algorithms and building continuous-learning infrastructure while integrating machine-learning capabilities across the vehicle stack.
Architect and own scalable machine-learning infrastructure and services, enabling large-scale training and data processing while improving platform reliability, cost efficiency, and usability across internal teams and customers.
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