Machine Learning Engineering Manager - Ads Engagement Modeling

at Reddit

📍 United States

USD 230,000-322,000 per year

MIDDLE SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Communication @ 6 Deep Learning @ 6 Machine Learning @ 3 PyTorch @ 5 TensorFlow @ 5

Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives.
Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques.

At least 2+ years of experience building and managing high-performing machine learning teams, ideally in the Ads domain (will consider tech lead experience as well).
Deep ML expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems; proven ability in training, evaluating, and deploying large-scale models.
End-to-End ML lifecycle experience: Proven ability in training, evaluating, and deploying large-scale models.
4+ years of hands-on experience with TensorFlow or PyTorch.
Strategic thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers.
Impact-driven mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
Exceptional communication & collaboration: Strong interpersonal skills with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.
Experience with Ads or Engagement Modeling is a plus.

100% remote opportunity (with 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
Competitive salary and equity options
Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend, etc.)
Generous 401k matching
Flexible vacation policy
Paid parental leave (4+ months)
Family planning support
Paid volunteer time off