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Member of Technical Staff, Head of Quality

Transparent Search Group · San Francisco, United States · Onsite

  • Staffing & Recruiting
  • 11–50 employees
  • Mississauga, Ontario

Strong hiring record · median 40 days open

100100

Hiring signal

Actively hiring

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  • Still listed on the employer's own board

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Member of Technical Staff, Head of Quality at Transparent Search Group. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Member of Technical Staff, Head of Quality

Company

Plato

Location

San Francisco, CA (SoMa office, 5 days per week)

Compensation

$180,000 - $280,000 + competitive equity

Employment Type

Full-time

Visa Sponsorship

Visa transfers (OPT, H-1B transfer)

About Plato

Plato is an applied research lab building the infrastructure to train specialized AI agents. It turns real-world data streams into high-fidelity simulated environments that generate the training signal needed for capable models, supporting frontier labs, hyperscalers and enterprises. As compute and algorithms commoditize, reinforcement learning data remains the bottleneck, and Plato automatically scales it.

Plato has raised a $19M seed.

The Role

Plato is hiring a Head of Quality (1-5 years) to own the quality bar for every environment and dataset it delivers, and to build the systems and team that enforce it at scale.

This is hands-on

you will be deep in the data reviewing samples, building automated QA, and making sure what ships produces real learning signal. You will also hire and lead the QA team as Plato scales.

What You Will Do

  • Review human data and environment outputs hands-on to keep quality extremely high.
  • Build automated evaluation, QA agents and grading systems that catch reward hacking, broken verifiers and distribution mismatches before delivery.
  • Define quality metrics and acceptance criteria for environments, tasks, verifiers, rewards and datasets.
  • Own delivery acceptance for engagements with frontier labs, hyperscalers and enterprises.
  • Hire, onboard and manage QA engineers and reviewers.

What You Bring

  • 1-5 years of experience in ML, RL, data quality or evaluation
  • Understanding of what a dataset actually teaches a model, beyond checklists
  • Experience building automated QA or evaluation systems
  • Ability to work in the San Francisco office 5 days a week

Tech Stack

Machine learning, reinforcement learning, LLMs, data quality, QA automation, evaluation frameworks

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