Dyna Robotics

Dyna Robotics

Product Manager, Data Engine

Redwood City, CA · Mid

Sponsorship not specifiedDetected 73 days ago
RESTMachine LearningData EngineeringProduct ManagementRoboticsResearchProblem Solving

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • The core of it is the data engine: everything that turns what happens in the field into training signal our models can learn from.
  • It is the highest-leverage system we have for how fast our robots improve.

Responsibilities

  • Own the tools our own teams live in. Labeling and visualization systems, model evaluation tooling, and task management, used daily by researchers, engineers, and operations.
  • Design for technical, opinionated users.
  • Own the UX and not just the capability: find the pain points these teams have stopped complaining about, and make them measurably faster.
  • Own the tools that run robots on the floor. Setup, monitoring, evals, intervention, and escalation, used mid-shift by people with no technical background and no time to spare. That constraint shapes every decision in this area.
  • Own the labeling schema.
  • You own the definitions, the audits, and the call on when it has to change.
  • Own the quality bar.

Requirements

  • Experience with deployed hardware in customer environments and the operational reality that comes with it.
  • Experience with multi-site robot deployments.

Skills

  • The core of it is the data engine:
  • everything that turns what happens in the field into training signal our models can learn from.
  • Together, this is what turns working robots into a working fleet.

Benefits

  • A schema that matched the field six months ago won't match it today, and a pipeline running at high coverage against a stale schema is worse than useless because it looks healthy.
  • Define how label quality is measured and audited, whether the work happens in-house or with vendors, and hold the line when coverage and quality pull against each other.
  • That includes knowing where model-assisted labeling helps and where it quietly degrades quality while the coverage numbers look fine.

Company info

  • Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world.
  • Decide what customers need to see to trust robots running in their business, which internal surfaces are on a path to them, and what has to change before they get there. - Spend real time on site.
  • We are an equal opportunity employer committed to technical rigor and mutual respect.
  • Own the customer-facing view. Decide what customers need to see to trust robots running in their business, which internal surfaces are on a path to them, and what has to change before they get there.

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