Machine Learning Manager - Ads Engagement Modeling

Manage a machine learning team, define strategy, drive execution, and collaborate cross-functionally. Requires experience with ML models, TensorFlow/PyTorch, and the ML lifecycle.

Responsibilities:

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.

Candidate Profile:

2+ years of management experience leading ML-focused teams.
6+ years of experience working with machine learning models at scale.
4+ years of hands-on experience with TensorFlow or PyTorch.
End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models.
Experience with Ads or Engagement Modeling is a plus, with a focus on media interactions.

Benefits:

Comprehensive Health benefits
Retirement Savings plan with matching contributions
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off