Resumo da vaga

Ads Conversion Modeling, Machine Learning Engineering Manager

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Target Skills and Expertise

  • Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling.
  • ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
  • End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models.
  • Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines.
  • Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc
  • Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is beneficial.

Target Skills and Expertise

  • 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.

Target Skills and Expertise

  • 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.
  • 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

Target Skills and Expertise

  • 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)
  • Family planning support
  • Paid volunteer time off
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FocoAds EngineeringÁrea da vaga
Sinal de senioridadeLeadNível do candidato
StackRESTSkills principais
Localização1 país aceitoElegibilidade

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