Ads Conversion Modeling, Machine Learning Engineering Manager
U.S.Full-TimeManager
Salary230000 - 322000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 2+ of experience
- Required Skills
- Machine LearningPyTorchTensorflowDeep Learning
Requirements
- 2+ years of experience building and managing high-performing machine learning teams
- Deep hands-on experience with machine learning models
- Experience deploying machine learning models in large-scale production systems
- Proven ability in training, evaluating, and deploying large-scale models
- Experience with Ads conversion modeling
- Experience with ranking (heavy ranker experience)
- Recommendations experience
- Expertise in architecting and implementing deep learning models
- Experience in ranking, recommendation, or conversion modeling
- Proficiency with mainstream ML libraries (TensorFlow, PyTorch)
- Experience in end-to-end ML lifecycle (training, testing, deploying production-grade ML models)
- Experience orchestrating large-scale data generation and processing pipelines
- Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc
Responsibilities
- Define the team’s vision and set strategic direction for conversion modeling
- Execute a technical roadmap for conversion modeling
- Lead a diverse, high-impact team
- Foster collaboration with PM, DS, and engineering functions within Ads
- Set Technical Vision and Strategy aligned with business objectives
- Drive Technical Execution by overseeing the model development lifecycle
- Lead and Mentor a High-Performing Team, recruiting and retaining top ML talent
- Collaborate Cross-Functionally with PMs, data scientists, and other engineering teams
- Innovate in ML Architecture, implementing and optimizing model architectures
View Full Description & ApplyYou'll be redirected to the employer's site
