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Job Description

  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  • Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  • Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
  • Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of advanced recommendation systems.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development.
  • 5 years of experience in a technical leadership role.
  • 5 years of experience in a people management or team leadership role.
  • 2 years of experience leading technical project strategy, ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years of experience working in a complex, matrixed organization.
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development.
  • 5 years of experience in a technical leadership role.
  • 5 years of experience in a people management or team leadership role.
  • 2 years of experience leading technical project strategy, ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
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  • Role Senior Software Engineering Manager, AI/ML Recommendations, Rankings, Predictions, YouTube
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

Job Overview

Approx. salary range

177K – 232K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 40 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 month ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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