Job Description:
Your day to day:
- Lead the team in charge of Development of Recommender Systems leveraging cutting edge AI/ML techniques, such as graph neural networks and deep learning models.
- Define an end-to-end vision for domain, including Signal Collection, Consumer Embedding, Product and Merchant Embeddings and retrieval/ranking pipelines.
- Leverage GenAI tools such as ChatGPT, Gemini and Llamma to accelerate development of recommendation models.
- Act as a thought leader, staying on top of the latest advancements in Generative AI and integrating innovative technologies into our systems to maintain a competitive edge.
- Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership
- Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences. Influencing partners including product stakeholders.
- Work in close partnership with our engineering group and PayPal's Platforms organization and drive the adoption of ML/AI solutions throughout the organization.
- Grow and scale a team of top-performing talent
This position is hybrid and requires in-office presence about 3 days a week in our San Jose, CA Headquarters.
What do you need to bring:
- Strong background in Machine Learning with practical experience in building and implementing large-scale predictive models and recommendation systems.
- Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, and Statistical Analyses.
- Preferred to have industry expertise in e-commerce recommendations, Ads relevance or other related applications.
- Excellent communication and collaboration skills with the ability to influence partners and customers with your insights and expertise.
- Ability to groom senior ICs and Junior Managers.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields.
- 8+ years of machine learning and AI industry experience.
- 5+ years of experience managing teams of machine learning engineers, modelers, and/or data scientists.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$120300 to $287100
Our Benefits:
Any general requests for consideration of your skills, please