Senior Manager, AI/ML, Engineering

Sephora - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

10,001+ employees

Health and Personal Care Retailers

About the position

As the Senior Manager of the Machine Learning Engineering team at Sephora, you will lead the operationalization of AI/ML models across the enterprise, driving the adoption of machine learning by various engineering teams. This role involves optimizing existing ML systems, developing reusable tools, and mentoring a diverse team of engineers. You will be a thought leader in the field, responsible for shaping best practices and enabling efficient development and deployment of AI/ML applications.

Responsibilities

• Manage and execute AI/ML model operationalization across the enterprise.
• Act as a center of excellence to drive adoption of ML/AI by autonomous, domain-specific engineering pods.
• Optimize existing ML software systems.
• Develop reusable tools and automated processes to support development and deployment of ML systems.
• Architect, build, maintain, and improve a suite of new and existing AI/ML applications and systems.
• Keep up to date with technical productionization of ML systems.
• Implement tools to facilitate monitoring, logging, and testing algorithms and technical performance of ML systems.
• Collaborate cross-functionally with product and engineering.

Requirements

• 10+ years' experience in software/application engineering.
• 6+ years' experience developing and deploying machine learning systems into production.
• 5+ years' experience with at least one cloud platform (Azure, GCP, AWS) and associated ML services, including Databricks.
• 3+ years' experience architecting end-to-end ML/AI systems in an enterprise environment.
• 2+ years' experience mentoring and managing ML engineers, data scientists, or core engineering talent.
• Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle, and common machine learning design patterns.
• A leader in modern software engineering methodologies, e.g. Agile, unit testing, test automation, continuous integration, code reviews, design documentation.
• Exceptional in advanced Python programming for AI.
• Expertise working with: Spark, Kafka, and GenAI models and services.
• Solid understanding of foundational machine learning concepts and algorithms, including GenAI.
• Proven experience deploying stable, real-time ML systems.
• Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar.

Nice-to-haves

• Retail experience is a plus.

Benefits

• Comprehensive medical benefits
• Generous vacation/holiday time off
• Commuter benefits
• Summer Fridays (half-days every Friday between Memorial and Labor Day)
• Employee discount and free product (gratis)
• 401(k) plan
• Life insurance
• Disability insurance
• Flexible spending accounts
• Employee referral bonus program