Dyna Robotics

AI Data Strategist

Redwood City, CA

Sponsorship not specifiedDetected 62 days ago

Machine LearningRoboticsResearchCommunication

About the role

This is a senior individual contributor role that focuses on strategy rather than managing operational execution.
Instead of running the day-to-day data pipeline, you will define what operations and research execute against.
You will establish the specifications, frameworks, and feedback loops that determine whether our data actually improves our models.

Identify lifecycle gaps: Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training through post-training.
Direct collection efforts: Prioritize what the data collection team should focus on next, clearly distinguishing between data that merely adds volume and data that actually drives model performance.
Translate field realities: Partner closely with the operations team to understand what is happening in the field, including shift handoffs, collection quality, and deployment issues.
Build Data Lifecycle Observability
Maintain a clear, comprehensive view of where the data lifecycle has gaps, from pre-training through post-training.

Structured Problem Solver: Highly analytical and detail-oriented, with the ability to translate messy, real-world failures into structured frameworks.
Clear Communicator: Strong written and verbal communication skills, with the ability to prioritize effectively in fast-moving environments where everything feels urgent.
Core Experience: 4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles.
Collaborative Track Record: Experience working closely with cross-functional teams, including ML researchers, operations, annotation teams, and engineering.
Edge-Case Proficiency: A deep understanding of how deployment failures, edge cases, and real-world operational data translate into model training and evaluation improvements.
Experience operating in fast-moving, ambiguous startup or R&D-heavy environments
Experience with embodied AI, video, or time-series data.
Highly analytical and detail-oriented, with the ability to translate messy, real-world failures into structured frameworks.
Strong written and verbal communication skills, with the ability to prioritize effectively in fast-moving environments where everything feels urgent.
4-8+ years of experience working in AI/ML, robotics, autonomy, or data-centric systems roles.

Establish the metrics that measure the health of each phase of the data pipeline, including collection coverage, label quality, evaluation consistency, and model feedback loops.
Create a real-time, organization-wide view of data lifecycle health.
Familiarity with evaluation pipelines, active learning, or data-centric AI.

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance.
Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world.
Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

This listing is sourced directly from Dyna Robotics's careers page and normalized into a canonical job model.