Lead Recommender Systems & Personalization Projects

MathCo; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A global AI and analytics firm is seeking an Engagement Manager in San Francisco. The role focuses on leading complex engagements with enterprise clients, particularly in the retail and e-commerce sectors. Candidates should have a deep understanding of recommender systems, experience in Python and modern AI tech stacks like TensorFlow and PyTorch, and strong client management skills. The firm values transparency and collaboration, fostering a culture of growth and innovation.

Qualifications

• Strong hands-on understanding of recommender systems, personalization algorithms, and ranking models.
• Deep familiarity with BERT, NCF, neural network architectures, and feature embedding methods.
• Consulting experience in AI/ML or advanced analytics is highly desirable.

Responsibilities

• Own the client relationship and act as the strategic interface.
• Lead the end-to-end delivery of recommendation system projects.
• Translate analytical outcomes into clear, data-backed recommendations.

Skills

Recommender systems

Personalization algorithms

Python

TensorFlow

PyTorch

Client-facing communication

Education

Bachelor’s degree in Computer Science

Master’s in Business Analytics

Tools

TensorFlow

PyTorch

Job description

A global AI and analytics firm is seeking an Engagement Manager in San Francisco. The role focuses on leading complex engagements with enterprise clients, particularly in the retail and e-commerce sectors. Candidates should have a deep understanding of recommender systems, experience in Python and modern AI tech stacks like TensorFlow and PyTorch, and strong client management skills. The firm values transparency and collaboration, fostering a culture of growth and innovation.