Description

You will lead the design and implementation of machine learning systems focused on recommendation, personalization, and generative AI.

Responsibilities

• Lead the design of machine learning models to solve problems in customer acquisition, retention, and reactivation.
• Prototype, evaluate, deploy, and maintain new models in production.
• Design AB tests and analyze experimental results to communicate progress to technical and business stakeholders.
• Identify new opportunities to apply machine learning and NLP across web, email, and paid marketing channels.
• Collaborate with cross-functional teams to solve core business problems and determine project next steps.

Required Skills

• At least 7 years of relevant, practical experience.
• Strong software engineering skills with a solid foundation in data structures and algorithms.
• Proficiency in Python for numerical and statistical programming using Pandas, NumPy, Scikit-learn, and PyTorch.
• Deep expertise in Machine Learning, statistics, and Recommender Systems.
• Experience with Natural Language Processing (NLP) and LLM prompt engineering.
• Ability to write complex SQL queries.
• Experience with big data technologies including Snowflake and Spark.
• Proven track record of leading the deployment and maintenance of models.
• Knowledge of AB test design and analysis.

Preferred Skills

• PhD or Masters in Computer Science, Engineering, Statistics, or a related field.
• Experience working with online businesses.

Key Skills

Education

Not specified