Ads Conversion Modeling, Machine Learning Engineering Manager
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
What this role actually needs.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Responsibilities: - People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. - Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion 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 conversion prediction, leveraging deep learning and advanced ML techniques. Requirements: - Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques. - At least 2+ 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. - Technical Domain Knowledge: Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations experience is required. - 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. Benefits: - 100% remote opportunity (we have 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) Company context: Reddit builds large-scale consumer, ads, and platform systems with hiring across mobile, backend, machine learning, and product engineering.
Day-to-day expectations
Reddit lists these responsibilities for the Ads Conversion Modeling, Machine Learning Engineering Manager role.
- People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth.
- Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion 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 conversion prediction, leveraging deep learning and advanced ML techniques.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques.
- At least 2+ 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.
- Technical Domain Knowledge: Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations experience is required.
- 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.
Why people would want this job
Reddit published these compensation, benefits, or working-context details with the role.
- 100% remote opportunity (we have 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)
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Source: job-boards.greenhouse.io · Source ID: 7792848 · Confidence: 90/100 · Last checked: May 7, 2026
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