The Ads Engagement Modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user engagement on Reddit, with a special focus on predictive modeling around interactions like click through prediction, video views, content engagement metrics, and other media-based interactions. As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled engineering manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.
Responsibilities:
- Set Technical Vision and Strategy: Define and execute a comprehensive roadmap for engagement modeling, balancing innovative approaches with business objectives.
- Drive Technical Execution: Oversee the entire model development lifecycle—from ideation through deployment—ensuring exceptional performance and robustness of our machine learning models.
- Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent while fostering a culture of growth, collaboration, and technical excellence.
- Collaborate Cross-Functionally: Partner with Product Managers, Data Scientists, and other engineering teams to align on engagement strategies, data requirements, and key performance indicators (KPIs).
- Innovate in ML Architecture: Implement and optimize model architectures tailored for engagement prediction, leveraging deep learning and advanced machine learning techniques.
Requirements:
- Minimum of 2 years of management experience leading ML-focused teams.
- At least 6 years of experience working with machine learning models at scale.
- A minimum of 4 years of hands-on experience with TensorFlow or PyTorch.
- Proven expertise in the end-to-end machine learning lifecycle, including training, evaluation, and deployment of large-scale models.
- Experience with ads or engagement modeling is a plus, particularly with a focus on media interactions.
