3 hours ago
Base Salary
$262k - $364k/yr
Responsibilities
- Define technical strategy for YouTube Shorts discovery models and systems.
- Provide technical leadership while designing, developing, testing, and deploying large-scale recommendation models and novel ML architectures.
- Optimize ML infrastructure to support Shorts ecosystem growth and user satisfaction.
- Partner with engineering, product, data science, and research teams to translate business goals into scalable technical solutions.
- Align teams on goals, prioritization, outcomes, and timelines.
- Mentor and influence junior engineers.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure.
- 5 years of experience with design and architecture and with testing and launching software products.
- 5 years of experience building and deploying production recommendation system models, including retrieval, prediction, ranking, or embedding.
- Preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 8 years of industry experience in AI/ML recommendations and the recommendations technology domain.
- Preferred: 5 years of technical leadership experience directing project teams and setting technical direction.
- Preferred: 5 years of experience with large-scale recommendation or search systems, reinforcement learning, ML infrastructure, or another ML specialization.
Benefits
- US base salary of $262000 - $364000, plus a 25% bonus target, equity, and benefits.
- Google benefits are available; the posting does not specify the individual benefits.
- The role is focused on YouTube Shorts and involves collaboration across engineering, product, data science, and research teams.
Categories
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