Machine Learning Engineering Manager – Ads Engagement Modeling at Reddit
Company/Recruiter: Reddit
✦ AI Summary
At Reddit, we're building the definitive platform for authentic online communities and discussions.
Job Overview
The Machine Learning Engineering Manager – Ads Engagement Modeling will lead a high-performing team of engineers and researchers focused on developing and deploying sophisticated machine learning models to understand and predict user engagement with advertisements on Reddit. You will be responsible for setting technical direction, mentoring team members, and collaborating with cross-functional partners to deliver impactful solutions that enhance ad relevance and performance.
Key Responsibilities
- Lead, mentor, and grow a team of machine learning engineers and researchers.
- Drive the research, development, and deployment of novel machine learning models for ad engagement prediction.
- Define and execute the technical roadmap for ads engagement modeling.
- Collaborate closely with product managers, data scientists, and other engineering teams to understand business needs and translate them into technical solutions.
- Ensure the scalability, reliability, and maintainability of machine learning systems.
- Stay abreast of the latest advancements in machine learning and their application to ad tech.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Proven experience leading and managing machine learning engineering teams.
- Strong track record in developing and deploying production-level machine learning models, particularly in areas related to user behavior, recommendations, or advertising.
- Deep understanding of machine learning algorithms, statistical modeling, and experimental design.
- Proficiency in programming languages such as Python, and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent communication, leadership, and problem-solving skills.
What We Offer
- A dynamic and collaborative work environment at a rapidly growing company.
- The opportunity to work on challenging problems with significant impact.
- Competitive compensation and benefits package.
- Professional development and growth opportunities.
- Remote work flexibility.