Manager, Engineering, AI ML

at  Sephora

Job ID: 246667
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

YOUR ROLE AT SEPHORA:

This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and 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 Manager of 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. You will build end to end ML systems and operationalize them to maximize their value and increase consumer satisfaction at every brand touchpoint. You will also get the invaluable opportunity to mentor a team of diverse and entrepreneurial Data and ML engineers and shape their career trajectory through your expertise.
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 machine learning and software engineering skills into a part mentor, part IC, part advisor role all while leading the ML engineering team.

RESPONSIBILITIES

• Responsible for managing and executing ML operationalization across enterprise.
• Architect, build, maintain, and improve end to end ML systems.
• Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing
• Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
• Collaborate with Product, Engineering and Business teams on planning new capabilities
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
• Write efficient and well-organized software to ship products in an iterative, continual-release environment
• Contribute to and promote good software engineering practices across the team
• Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code
• Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences
• Demonstrate our Sephora values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative