Applied ML Engineer
Own the ML infrastructure powering production inference, training, and evaluation for multimodal robotics data.
Remote • San Francisco, CA, USA
- Full Time
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Own the ML infrastructure powering production inference, training, and evaluation for multimodal robotics data.
Front-end and integration engineer delivering end-to-end robotic data solutions with customer-facing deployments and collaboration.
Build data infrastructure for robots operating in the real world and enable multimodal sensor data ingestion, storage, and analysis.
Owns production ML infrastructure including inference serving, orchestration, and training pipelines to scale multimodal robotics data platforms.
Own Data Strategy & Roadmap to evolve data management, discovery, curation, and evaluation.
Own growth at a fast-growing robotics company by delivering data-driven design that bridges complex workflows and user experiences.
Architect and build high-performance frontend applications for large or real-time datasets with robotics visualization focus.
Turn complex technical workflows into clear, intuitive user experiences with robotics-focused data tools.
Owns frontend app structure, including authentication, navigation, component system, build/packaging, analytics, and error reporting across feature teams.
Build data infrastructure for robots operating in the real world with end-to-end observability and analytics across multi-cloud environments.
Architect and build high-performance frontend applications that operate on large or real-time datasets.
Forward-Deployed Engineer building end-to-end data/robotics integrations with customers and upstream product input.