Staff ML Engineer — Ads Ranking & Recsys

Aimlroles

Northern (KY)

Hybrid

USD 230,000 - 322,000

Full time

13 days ago
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Benefits offered by this job

Remote work
Healthcare benefits
401k match
Global benefits
Family planning
Gender-affirming care
Mental health & coaching benefits
Flexible vacation & volunteer time off
Parental leave

Job summary

Reddit is hiring a Staff-level Machine Learning Engineer to advance Ads Ranking through ML-driven modeling and scalable deployment. You will design advanced models, develop embeddings and signals, and work with infra and data teams to deliver production-ready systems.

The role emphasizes end-to-end ownership, mentorship of peers, and shaping modeling strategy across domains like conversion or app ads, with a focus on measurable impact in ads marketplaces.

Qualifications

  • 7+ years of industry ML experience.
  • Strong background in deep learning architectures (Transformers).
  • Experience with recommender systems or ads ranking.
  • Experience building and deploying models at scale.

Responsibilities

  • Design and train advanced ML models for Reddit Ads Ranking.
  • Develop features like embeddings and contextual signals.
  • Collaborate with product, infra and data teams on deployment and evaluation.
  • Mentor other engineers and promote modeling best practices.
  • Shape long-term modeling vision across domains (conversion, app ads, etc.).

Skills

Deep Learning
Recommender Systems
ML Frameworks
Ads Ranking
Large-scale Data
Experimentation
Production Models
Collaborative Skills

Tools

TensorFlow
PyTorch
Spark

Job description

Reddit is hiring a Staff-level Machine Learning Engineer to advance Ads Ranking through ML-driven modeling and scalable deployment. You will design advanced models, develop embeddings and signals, and work with infra and data teams to deliver production-ready systems.

The role emphasizes end-to-end ownership, mentorship of peers, and shaping modeling strategy across domains like conversion or app ads, with a focus on measurable impact in ads marketplaces.

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