✨ About The Role
- The Engineering Manager will define and execute a roadmap for engagement modeling that aligns with business objectives.
- This role involves overseeing the model development lifecycle from ideation to deployment, ensuring high standards of machine learning performance.
- The manager will be responsible for recruiting, mentoring, and retaining top machine learning talent within the team.
- Collaboration with product managers, data scientists, and other engineering teams is crucial to align on engagement strategies and model KPIs.
- The position requires innovating in machine learning architecture, implementing and optimizing model architectures tailored to engagement prediction.
âš¡ Requirements
- The ideal candidate will have at least 2 years of management experience leading machine learning-focused teams.
- A strong background in machine learning with over 6 years of experience working with models at scale is essential.
- Hands-on experience with TensorFlow or PyTorch for a minimum of 4 years is required.
- The candidate should have proven abilities in training, evaluating, and deploying large-scale machine learning models.
- Experience in Ads or Engagement Modeling, particularly with a focus on media interactions, is a plus.