
Machine Learning Engineering Manager – Ads Engagement Modeling
Posted Jun 14

Posted Jun 14
This is a fully remote position, open to applicants in United States.
• Establish Technical Vision and Strategy: Create and implement a roadmap for engagement modeling that harmonizes innovative modeling techniques with business goals.
• Drive Technical Execution: Supervise the entire model development lifecycle from concept to deployment, ensuring exceptional standards of ML performance and reliability.
• Lead and Mentor a High-Performing Team: Attract, mentor, and retain premier ML talent while cultivating a culture of growth, collaboration, and technical excellence.
• Collaborate Cross-Functionally: Work alongside PMs, data scientists, and other engineering teams to ensure alignment on engagement strategies, data needs, and model KPIs.
• Innovate in ML Architecture: Design and enhance model architectures specifically for engagement prediction, utilizing deep learning and sophisticated ML methodologies.
• A minimum of 2+ years of experience in building and managing high-performing machine learning teams, preferably within the Ads sector. Tech lead experience will also be considered.
• Deep ML Expertise: Extensive hands-on experience with machine learning models and their deployment in large-scale production environments. Demonstrated success in training, evaluating, and deploying large-scale models.
• End-to-End ML Lifecycle Experience: Proven capability in training, evaluating, and deploying large-scale models.
• 4+ years of practical experience with TensorFlow or PyTorch.
• Strategic Thinking: Skill in developing and articulating a clear, compelling technical strategy that aligns with broader company objectives and meets the needs of internal stakeholders.
• Impact-Driven Mindset: A strong passion for creating scalable, well-structured, and responsible AI solutions that deliver business value.
• Exceptional Communication & Collaboration: Excellent interpersonal skills and a collaborative approach, with the ability to convey complex technical subjects to varied audiences and establish robust relationships with cross-functional partners.
• Experience with Ads or Engagement Modeling is an advantage.
• Fully remote position (with 4 office locations for hybrid/onsite work preferences in NY, SF, LA, and Chicago).
• Competitive salary and equity options.
• Comprehensive health benefits (medical, dental, vision) and workplace perks (home office setup stipend, etc.).
• Generous 401k matching.
• Flexible vacation policy.
• Paid parental leave (4+ months).
• Family planning support.
• Paid volunteer time off.
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