onsite
Machine Learning Engineer - Core Feed Recommendation
ML Engineer
Drive the development and optimization of core feed recommendation models, leveraging A/B testing and data analysis to enhance user engagement and content relevance.
About the role
Key Responsibilities
- Design, implement, and maintain machine learning models that power the core feed recommendation engine.
- Conduct rigorous A/B testing to evaluate model performance and iterate on improvements.
- Analyze large-scale user interaction data to uncover insights and inform model tuning.
- Collaborate with cross-functional teams to integrate recommendation outputs into production pipelines.
- Monitor model drift and performance metrics, ensuring sustained relevance and accuracy.
Requirements
- Strong background in machine learning, with experience building recommendation systems.
- Proficiency in A/B testing frameworks and statistical analysis.
- Hands‑on experience with data analysis tools (SQL, Python, Pandas).
- Excellent problem‑solving skills and ability to translate business goals into technical solutions.
Skills
machine learningdata analysis