Ads Conversion Modeling, Machine Learning Engineering Manager
R
RedditAdvertising
Remote - United StatesFull-TimeManager
Salary230000 - 322000 USD per year
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Job Details
- Experience
- 2+ years
- Required Skills
- Machine LearningPyTorchTensorflowDeep Learning
Requirements
- 2+ years of experience building and managing high-performing machine learning teams, ideally in the Ads domain (or tech lead experience).
- 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.
- Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations experience is required.
- Expertise in architecting and implementing deep learning models, with experience in ranking, recommendation, or conversion modeling.
- Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
- Experience in training, testing, and deploying production-grade machine learning models (End-to-End ML Lifecycle).
- 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.
- Ability to develop and communicate a clear, compelling technical strategy.
- Strong interpersonal skills and a collaborative mindset.
Responsibilities
- Define the team’s vision, setting strategic direction, and executing a technical roadmap for conversion modeling at Reddit.
- Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
- Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence.
- Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
- Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques.
- Lead a diverse, high-impact team and foster collaboration with various teams such as PM, DS, and engineering functions within Ads.
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