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About the role
Key responsibilities & impact- Lead, build, and grow a high-performing ML engineering team
- Set and execute the strategic roadmap for recommendation, personalization, and ads optimization systems
- Stay hands-on: conduct deep dives into algorithmic components and systems
- Lead the design, development, and implementation of advanced recommendation systems and algorithms
- Build and deploy robust, full-stack ML pipelines
- Continuously monitor, evaluate, and optimize the performance of deployed models
- Partner closely with Product, Engineering, and Content teams
Requirements
What you’ll need- 10+ years of industry experience in machine learning
- 3+ years of leadership and management experience
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience
- Deep expertise in deep learning for recommendation and personalization systems
- Proficiency in building and deploying full-stack ML pipelines
- Solid command of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning
- Ability to deep dive into individual components and systems
- Excellent communication skills and the ability to influence product and technical strategy.
Benefits
Comp & perks- medical/dental/vision
- insurance
- vacation/paid time off
- annual discretionary bonus
- long-term incentive plan
- monthly wellness reimbursement
- Flexible Time Off Policy
- generous Parental Leave Program
