Senior Manager, Engineering AI/ML

Job ID: 251475
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type:
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 Senior Manager Machine Learning Engineering to come in and drive the operationalization of AI/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.

 

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.
• Architect, build, maintain, and improve suite of new and existing AI/ML applications and systems.
• Implement end-to-end solutions for both real-time and batch algorithms along with tooling for monitoring, logging, automated testing, performance testing and A/B testing – including integration with existing enterprise systems and customer-facing digital systems.
• 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, implementation, and observability.
• Mentor team to write efficient, well-organized software to ship products in an iterative, continuous-release environment
• 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

 

We are excited about you if you have:

• Advanced degree in engineering, computer science, mathematics, or a related field
• 10+ years’ experience in software/application engineering