Sanctuary AI
Creating human-like intelligence in general-purpose robots
AI • Cognition • Computer Vision • Machine Learning • Robotics
51 - 200
DataOps Engineer
August 15
🏢 In-office - Vancouver
Sanctuary AI
Creating human-like intelligence in general-purpose robots
AI • Cognition • Computer Vision • Machine Learning • Robotics
51 - 200
Description
• Participate in data collection sessions to ensure their smooth execution • Acquire and annotate datasets that align with ML needs • Develop algorithms to transform robot telemetry into ML training and validation datasets • Build and support a secure, extensive, scalable, repeatable, and high-performing data collection platform • Systematically augment datasets in order to increase the accuracy of ML applications • Build and deploy ML model evaluation pipelines • Analyze collected data and show how the data contribute to the model performance • Build and implement tools that will support data analysis
Requirements
• Bachelor's degree or higher in Computer Science or related fields • 3+ years experience in a Data Platform Engineer, DataOps, or equivalent role • 2+ years of Experience with ML frameworks, platforms and tools • Basic understanding of machine learning algorithms, including reinforcement learning, behavior cloning, and generative AI • Knowledge of professional engineering practices for the full product life cycle, including coding standards, code reviews, source management, agile, processes, testing, and operations • Demonstrated ability to design, implement, and test in a fast-paced environment
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