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Ads Conversion Modeling, Machine Learning Engineering Manager

Reddit is hiring an Engineering Manager to lead its Conversion Modeling team within Ads. The team builds and maintains ML models that increase conversions for Reddit's…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
USD 230,000 - 322,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Published1h ago
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Applications0
Apply BeforeNo deadline

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About This Role

Reddit is hiring an Engineering Manager to lead its Conversion Modeling team within Ads. The team builds and maintains ML models that increase conversions for Reddit's advertisers, with a focus on lower-funnel actions such as purchases, sign-ups and add-to-cart events. The listing is marked remote, with applicants accepted from any U.S. location. The posting says the lower-funnel business is expanding fast, and that upgrading ranking-based conversion models is key to…

Job Description

Reddit is hiring an Engineering Manager to lead its Conversion Modeling team within Ads. The team builds and maintains ML models that increase conversions for Reddit's advertisers, with a focus on lower-funnel actions such as purchases, sign-ups and add-to-cart events. The listing is marked remote, with applicants accepted from any U.S. location. The posting says the lower-funnel business is expanding fast, and that upgrading ranking-based conversion models is key to sustaining that growth.

The manager sets the team's vision, charts strategic direction and runs a technical roadmap that weighs new modeling approaches against business objectives. Responsibilities include overseeing models from ideation through deployment, recruiting, mentoring and retaining engineers, and coordinating with product managers, data scientists and other engineering groups on engagement strategy, data needs and model metrics. The role also involves designing model architectures for conversion prediction using deep learning and other advanced techniques.

Required qualifications include at least two years of experience leading and growing high-performing machine learning teams, preferably in advertising, with tech lead experience also considered. Candidates should have hands-on experience deploying large-scale models, along with background in ads conversion modeling, ranking and recommendation systems. The posting names TensorFlow and PyTorch as mainstream libraries the manager should know well, and it values an understanding of how ranking models interact with bidding, auctions and retrieval. Ads modeling experience is a plus. The base salary range is $230,000 to $322,000, plus equity in restricted stock units. U.S. employees also receive medical, dental and vision coverage, a 401(k) match, paid parental leave and a flexible vacation policy.

Responsibilities

  • Set the team's vision and a multi-year technical plan that matches company goals
  • Oversee models from ideation through deployment, with attention to performance and robustness
  • Recruit, mentor and retain machine learning engineers
  • Work alongside PMs, data scientists and engineering groups on engagement strategy and KPIs
  • Design and refine model architectures for conversion prediction
  • Explain complex technical topics clearly to a range of audiences

Requirements

  • Minimum of two years leading and growing high-performing machine learning teams
  • Hands-on machine learning expertise with models deployed at large scale
  • Hands-on background in ads conversion modeling, ranking and recommendation systems
  • Skill at shaping and explaining a clear technical strategy
  • Strong collaboration and interpersonal skills

Qualifications

  • Background in ads modeling or engagement prediction (a plus)
  • Familiarity with TensorFlow and PyTorch
  • Tech lead experience may be considered in place of people management

Core Skills

Benefits

  • Equity in restricted stock units
  • Medical, dental and vision coverage for U.S. employees
  • 401(k) with an employer match
  • Four or more months of paid parental leave
  • Family planning support
  • Paid volunteer time off
  • Home office setup stipend
  • Flexible vacation policy

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is the role remote?

Yes. Applicants in any part of the U.S. are welcome. The company also lists offices in New York, San Francisco, Los Angeles and Chicago for those who prefer hybrid or onsite work.

What is the base salary?

The base salary range is $230,000 to $322,000, plus equity in restricted stock units.

What management experience is required?

A minimum of two years leading high-performing machine learning teams. Tech lead experience may also be considered.

Which ML frameworks are expected?

The posting names TensorFlow and PyTorch as mainstream libraries the candidate should be proficient with.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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