Machine Learning Engineering Manager - Ads Engagement Modeling

United StatesHybrid

Responsibilities

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. Candidate Profile:
Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives.

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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.
Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques. Required [REQUIREMENTS] qualifications: 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 with TensorFlow or PyTorch.
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 •