Principal Machine Learning Engineer, Personalization Systems

Visa - Foster City, CA

Full-time - Senior

Hybrid - Foster City, CA

Credit Intermediation and Related Activities

About the position

The Principal ML Engineer role at Visa involves driving research and architecture for the personalization platform within the Data and Artificial Intelligence Platform (DAP) group. This position focuses on innovating model optimization, system scalability, and integrating cutting-edge AI technologies to enhance customer personalization experiences. The role requires collaboration with a cross-functional team to develop advanced data science models and solutions that impact millions of users globally.

Responsibilities

• Identify opportunities to enhance personalization capabilities by diving deep into consumer and client needs.
• Develop natural language processing and personalization models that impact millions of users.
• Mentor team members, share knowledge, and contribute to the technical growth of the team.
• Provide guidance on machine learning best practices and methodologies.
• Iterate and fine-tune algorithms and models.
• Design, implement, and maintain reliable, high-performance distributed systems.
• Act as a thought leader, staying on top of the latest advancements in Generative AI and integrating innovative technologies into our systems.
• Support strategic planning, business analysis, and technical knowledge of ML Engineering, tools, and data architecture solutions.

Requirements

• 12 or more years of work experience with a Bachelor's Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA/JD/MD), or a minimum of 5 years of work experience with a PhD.
• 15+ years of hands-on experience developing advanced data science models.
• Expertise in multiple programming languages (e.g., Python, R, Spark).
• Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, and Statistical analyses.
• Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn).
• Expert knowledge in Deep Learning techniques and LLM (Large Language Model).
• Experience working with Airflow, GitHub, ML flow for building and maintaining ETL pipeline.
• Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling, Classification techniques, and Decision Tree techniques.
• Experience working with large scale data ingestion, processing, and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.).

Benefits

• Medical
• Dental
• Vision
• 401(k)
• FSA/HSA
• Life Insurance
• Paid Time Off
• Wellness Program