Machine Learning Engineering Manager - Ads Engagement Modeling

Reddit is seeking a Machine Learning Engineering Manager to lead the Engagement Modeling Team, focusing on building machine learning models to drive on-platform user engagement. The ideal candidate will have deep machine learning expertise, strategic vision, and a collaborative mindset.

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.

Requirements:

• At least 2+ years of experience building and managing high-performing machine learning teams, ideally in the Ads domain.
• Deep ML Expertise: Hands-on experience working with machine learning models and deploying them in large-scale production systems.
• 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.
• Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
• Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset.

Perks and Benefits:

• 100% remote opportunity
• Competitive salary and equity options
• Comprehensive health benefits
• Generous 401k matching
• Flexible vacation policy
• Paid parental leave
• Family planning support
• Paid volunteer time off