Ads Conversion Modeling, Machine Learning Engineering Manager

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$230,000–$322,000 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $276k
$165k most similar roles pay here $339k

This role pays more than 80% of similar roles. Most pay $185,000–$261,237 — the shaded band above. At the midpoint, this role pays about $276k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 72 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Ads Conversion Modeling, Machine Learning Engineering Manager

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The Engineering Manager role at Reddit’s Conversion Modeling Team involves leading a high-impact team focused on developing and maintaining machine learning models that drive user conversions from Reddit Ads. This position requires deep expertise in model architectures, ML frameworks like TensorFlow and PyTorch, and end-to-end ML lifecycle management. The EM will oversee the development of predictive models for lower-funnel actions such as purchases and sign-ups, collaborating closely with product managers, data scientists, and other engineering teams to align on engagement strategies and KPIs. Ideal candidates have experience managing machine learning teams in the Ads domain and a strategic vision to execute long-term technical roadmaps that balance innovation with business objectives.

Skills

TensorFlow PyTorch Python Kubernetes CI/CD PostgreSQL AWS Docker Prometheus Grafana

What you'll do

  • Define and execute a long-term technical strategy for conversion modeling.
  • Oversee the development lifecycle of machine learning models from ideation to deployment.
  • Lead and mentor a high-performing team of ML engineers and data scientists.
  • Collaborate with product managers and data scientists to align on model KPIs.
  • Innovate in ML architecture, implementing advanced techniques for conversion prediction.

What we're looking for

  • At least 2 years of experience building and managing high-performing machine learning teams.
  • Deep hands-on expertise in training, evaluating, and deploying large-scale ML models.
  • Experience with Ads conversion modeling, ranking systems, and recommendations.
  • Ability to develop and communicate a clear technical strategy aligned with business objectives.
  • Proven track record in leading cross-functional collaboration within PM, DS, and engineering teams.
  • Strong mentorship skills for recruiting, mentoring, and retaining top ML talent.

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