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Technical Program Manager, Data Collection and Model Evaluation (Fixed-Term Contract)

Google DeepMind · Mountain View, CA, USA

CHECKED 5M AGO

Frontier labonsitesenior$163k–$236k
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At a glance

Highlights

  • Lead data collection and evaluation programs powering Google's next-gen models.
  • Translate research goals into scalable multimodal training data pipelines.
  • Drive workflow migrations onto internal annotation platforms at scale.

What they offer

  • 15% bonus target

Ideal candidate

A technical program leader who thrives at the research-operations intersection, turning ambiguity into scalable data programs that power frontier models.

Requirements

  • Bachelor's degree in technical, quantitative, or operational field or equivalent practical experience
  • 5 years of experience in technical program management, data operations, or AI/ML program management
  • Experience managing end-to-end human data collection, annotation, and evaluation pipelines (SFT, RLHF) for foundation models
  • Experience overseeing third-party vendors, SOWs, and rater quality with engineering workflow launches
  • Experience using SQL, Python, or dashboards to monitor telemetry and diagnose data anomalies
  • Ability to navigate ambiguity and build consensus across research, engineering, and legal for multimodal workflows

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗