ML Engineering Manager — YouTube Ads & GenAI

Google

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

3 days ago
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Job summary

Google is seeking a senior software engineer with extensive ML experience to lead design and optimize ML infrastructure within the YouTube Ads ML team. You will drive end-to-end ML systems, collaborate with researchers, and shape roadmap across multiple teams in a fast-paced environment.

Applicants should have a strong track record in ML, distributed systems, and leadership, with the ability to operate across a matrixed organization and influence priority decisions.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience with GenAI techniques or related concepts.
  • 2 years of experience in a people management or team leadership role.

Responsibilities

  • Set and communicate team priorities aligned with the organization's goals.
  • Set expectations with individuals and provide performance feedback and coaching.
  • Develop mid-term technical goals and roadmap for one or more teams.
  • Build end-to-end ML systems on large-scale data and research new architectures.
  • Collect ground truth, feature engineering, experiments, and metrics analysis.

Skills

Software development
ML leadership
People management
GenAI techniques

Education

Bachelor's degree
Master’s degree or PhD

Tools

LLMs (Gemini)

Job description

Google is seeking a senior software engineer with extensive ML experience to lead design and optimize ML infrastructure within the YouTube Ads ML team. You will drive end-to-end ML systems, collaborate with researchers, and shape roadmap across multiple teams in a fast-paced environment.

Applicants should have a strong track record in ML, distributed systems, and leadership, with the ability to operate across a matrixed organization and influence priority decisions.

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