Lead Engineer, AI and Machine Learning

Job ID: 253939
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Regular
Job Function: Information Technology
Remote Eligible:Yes

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:

This is an opportunity for a Machine Learning Engineer to come in and drive ML initiatives for the enterprise. Sephora continues to inspire our loyal customers in beauty space and AI/ML is redefining the way we inspire our customers.

Some exciting initiatives in action:

• Generative AI use cases to help our customer discover products.
• Personalized in-session product recommendation engine (In store and Online)
• Customer Segmentation
• Next-Best offer prediction

As a Lead Machine Learning Engineer, you will operationalize innovative ML solutions and work alongside other team members like product manager, Enterprise architect, Principal ML Engineer, Data scientists and business to architect, design, build ML pipeline and productionalize ML models. You will be also responsible for integrating ML solutions to operational products. This hands-on technical role demands excellent ML engineering and MLops knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.

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. …