> Markdown version of [/jobs/ext/574317-machine-learning-engineering-manager-ads-engagement-modeling](https://www.wearedevelopers.com/jobs/ext/574317-machine-learning-engineering-manager-ads-engagement-modeling). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineering Manager - Ads Engagement Modeling - **Company:** reddit Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $230,000.0 - $322,000.0 - **Contract:** Permanent contract - **Skills:** Machine Learning, Tensorflow, Pytorch, Deep Learning, Machine Learning Operations - **Published:** June 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b6b4d40ed3ed89fb ## About the Role Do you have experience in Scalable systems?, * 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. * 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 and addresses the needs of internal customers. * 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, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners * Experience with Ads or Engagement Modeling is a plus. ## Description * 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., The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: * 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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