Head of ML Engineering - Core Ads Ranking

Reddit

Oregon

Hybrid

USD 230,000 - 322,000

Full time

7 days ago
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Benefits offered by this job

Comprehensive Healthcare Benefits and
401k with Employer Match
Global Benefit programs
Family Planning Support
Gender‑Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid VolunteerTime
Generous Paid Parental Leave

Job summary

Reddit is hiring a senior ML leader to define and execute the roadmap for foundational models and user understanding. You will partner with cross-functional teams to align on direction, strategy, and priorities, while guiding the model development lifecycle from ideation to deployment.

You will mentor a high-performing ML team, recruit top talent, and drive technical excellence in a fast-growing environment with access to cutting-edge research and scalable systems.

Qualifications

  • 6+ years of experience building and scaling machine learning models and working with state-of-the-art ML models.
  • 4+ years hands-on experience with TensorFlow or PyTorch.
  • End-to-End ML Lifecycle experience: training, evaluating, and deploying large-scale models.
  • Experience with foundational models and user/content understanding; ads experience is a plus.

Responsibilities

  • Set Technical Vision and Strategy: define and execute a roadmap for foundational models and user understanding.
  • Collaborate cross-functionally with vertical/horizontal teams to align on direction and priorities.
  • Drive Technical Execution: oversee model development lifecycle from ideation to deployment with high ML standards.
  • Lead and mentor a high-performing ML team, attracting and retaining top talent.

Skills

ML Leadership
Team Management
TF/PyTorch
End-to-End ML
Foundational Models
Ads Experience

Job description

Reddit is hiring a senior ML leader to define and execute the roadmap for foundational models and user understanding. You will partner with cross-functional teams to align on direction, strategy, and priorities, while guiding the model development lifecycle from ideation to deployment.

You will mentor a high-performing ML team, recruit top talent, and drive technical excellence in a fast-growing environment with access to cutting-edge research and scalable systems.

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