Senior Manager, AI/ML, Engineering

Job ID: 256005
Location Name: CA-FSC SF Off (0174)
Address: 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
Remote Eligible:Hybrid Schedule

 

Company Overview:

At Sephora we inspire our customers, empower our teams, and help them become the best versions of themselves.  We create an environment where people are valued, and differences are celebrated. Every day, our teams across the world bring to life our purpose: to expand the way the world sees beauty by empowering the Extra Ordinary in each of us.  We are united by a common goal - to reimagine the future of beauty.

 

The Opportunity:

Technology

Our technology team works fast and smart. With San Francisco as our home, we take bringing new tech to market seriously, developing the latest in mobile technologies, scalable architecture, and the coolest in-store client experience. We love what we do and we have fun doing it. The Technology group is comprised of motivated self-starters and true team players that are absolutely integral to the growth of Sephora and our future success. 

 

Your role at Sephora: 

As the Senior Manager of the Machine Learning Engineering team, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels. Support the Data Science team in deploying novel algorithms along with optimizing existing machine learning systems to maximize their value and increase consumer satisfaction at every brand touchpoint. Mentor a team of diverse and entrepreneurial engineers - shaping their career trajectory through your expertise. You will be a thought leader and develop tooling and best practices to enable Sephora teams to efficiently develop and deploy AI/ML applications.

 

We are looking for someone who is a technology-agnostic polymath—committed to a lifelong journey of learning and exploration of new scientific ideas—and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale. This role is ideal for someone looking to extend their algorithm design and software engineering skills into a part advisor, part mentor, part business leader, part IC role - all while leading the ML Engineering team

 

Responsibilities: 

• Responsible for managing and executing AI/ML model operationalization across the enterprise, including acting as a center of excellence to drive adoption of ML/AI by autonomous, domain specific engineering pods.
• Optimizes existing ML software systems
• Develops reusable tools and automated processes to support development and deployment of ML systems
• Architect, build, maintain, and improve suite of new and existing AI/ML applications and systems.
• Keeps up to date with technical productionization of ML system
• Implements tools to facilitate monitoring, logging and testing algorithms and technical performance of ML systems (automated, performance, A/B testing). 
• Collaborates cross-functionally with product and engineering

We are excited about you if you have:

• 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