Jobs for Developers

Engineering Manager, Machine Learning (App Ads)

RedditFull-time$230k - $322kRemote; United StatesMar 22, 2024
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The App Ads Team is entrusted with the development and maintenance of a diverse set of Machine Learning models that are responsible for predictions regarding user install conversions after engaging with Reddit App. The creation and enhancement of these models plays a crucial role in our organization's efforts to optimize advertising effectiveness and drive business growth. We are looking for a motivated engineering manager that will help us advance our vision. As a diverse group of software engineers, product managers, data scientists, and ads experts, we are excited for you to join our team!

Your Responsibilities:

The EM is expected to set the vision and strategy, plan and execute the team’s technical roadmap, hire candidates in areas of applied machine learning, data analysis, big data processing, iterative algorithms, backend services, to own and support building the related ads products..

  1. Experience with any one of the following:
    1. Ads Modeling experience (ideally conversion and/or app install modeling experience)
    2. [nice to have] Signal loss mitigation (through transfer learning, data augmentation, and/or ensemble methods) 
    3. Architecting deep learning models
  2. Experience with mainstream ML frameworks (tensorflow/pytorch)
  3. End-to-End experience of training, evaluating, testing, and deploying industry-level models
  4. Experience of orchestrating complicated data generation pipelines on large-scale dataset
  5. See Job description details for more

Top target behavioral attributes:

The EM is expected to manage a diverse team to focus on cutting edge ML technologies. The EM is expected to build, grow and organize the team in 2024 and beyond. The EM of the team will collaborate with different functional teams (PM, DS, PMM, Sales) and several engineering teams (ads prediction, ads conversion modeling, ads bidding and optimization, ads measurement, ads infra platform, advertiser success, ad events, ads ML, ads serving) to build foundations, interactive algorithms and ML models to achieve business success and metrics wins.

This role is for a seasoned engineering manager, which requires prior experience of people management.

This role also requires someone with reasonable ads background and domain experience in conversion modeling, data analysis, and applied ML.

  1. Passion of building state-of-the-art ML technology
  2. Eagerness to generate out-sized impacts
  3. Open-minded and easy to work with

Who You Might Be:

  • 2+ years of managing ML teams 
  • 6+ years of experience with industry-level ML/deep learning models.
  • 4+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).
  • 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.
  • 4+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets.
  • 2+ years experience with conversion modeling.
  • Experience with ads systems and recommendation systems is a plus.


  • Comprehensive Healthcare Benefits
  • 401k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation (please use them!) & Reddit Global Wellness Days
  • 4+ months paid Parental Leave
  • Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:
$230,000$322,000 USD

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