Principal Engineer, YouTube ML Content Recommendations

San Bruno, CA (On-site)

$307K/yr – $428K/yrSenior Level15+ years expFull time

Posted 4 weeks ago

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Job Summary

Own the long term tech roadmap for content recommendations and align multi-year investments with concrete, cross-functional product outcomes.

  • Content Engine: Define the multi-year technical plan and balance short-term bets with scalable architecture.
  • Product & UX Collaboration: Develop the product outlook with PM/UX and coordinate with Google Research and YouTube product teams.
  • Leadership & Mentoring: Review designs, guide technical discussions, and mentor Senior ICs while keeping YouTube leadership informed.

Job Description

Responsibilities

  • Provide the technical outlook and strategy for content recommendations. Design and lead a multi-year technical roadmap, balancing short and long-term technology investments.
  • Develop product outlook for content recommendation products with Product Management, UX, and other cross-functional partners.
  • Drive and coordinate collaboration with Google Research and various product teams at YouTube.
  • Communicate team’s plans with YouTube leadership.
  • Review technical design from the team and guide technical discussions, as well as mentor Senior Individual Contributors.

Requirements

  • Bachelor’s degree in Computer Science, similar technical field of study, or equivalent practical experience
  • 15 years of software engineering experience, including technical leadership
  • Engineering experience in Machine Learning with a focus in recommendations and computer vision/image processing
  • Experience in computer science, data structures, algorithms, and software design

Preferred

  • Master’s degree or PhD in Computer Science or related field
  • Experience with full-stack backend software development and implementation of sustainable, well-designed systems and data pipelines, with production launch/impact
  • Technical expertise in computer vision/image processing algorithms, including experience building large-scale ML systems and knowledge of ML models/algorithm design
  • Ability to communicate and collaborate effectively to create a shared sense of outlook or purpose cross-team and cross-functionality
  • Ability to think in a strategic manner to develop innovative product solutions
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Mountain View, California, USA
325K employees (114,305 in marketing)

Traffic Signals

Monthly Visitors
83.9B
Monthly Google Ads Budget
$59.2M
Traffic Source Mix
Search
6.3%
Direct
87.6%
Referral
5.1%
Social
0.5%
Paid
0.2%

Headcount Trend

Current headcount: ~325.4K

Marketing Team

Marketing Team Size
100,288 (31% of company)
Median Career Experience
21 years
Median Tenure
7.1 years
Marketing Roles Posted (Last 30 Days)
23

Funding

Total Funding
$26.1M
Last Raise
$25M
Series Unknown, 27 years ago

Funding History

  • Jun 1999
    Series Unknown • $25M
  • Nov 1998
    Angel • $1M
  • Aug 1998
    Pre Seed • $100K

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