Job Description

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. 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. Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. Retail experience is a plus. You’ll love working here because: The people. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams – people you can be proud to work with. The product. Employees enjoy a product discount and receive free product (“gratis”) various times throughout the year. The business. It feels good to win – and Sephora is a leader in the retail industry, defining experiential retail with a digital focus and creating the most loved beauty community in the world…with the awards and accolades to back it up. The perks. Sephora offers comprehensive medical benefits, generous vacation/holiday time off, commuter benefits, and “Summer Fridays” (half-days every Friday between Memorial and Labor Day)…and so much more. The LVMH family. Sephora’s parent company, LVMH, is one of the largest luxury groups in the world, providing support to over 70 brands such as Louis Vuitton, Celine, Marc Jacobs, and Dior. The annual base salary range for this position is $187,920.00 - $232,000.00 The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant’s qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and/or from which they will perform the job. Individuals employed in this position may also be eligible to earn bonuses. Sephora offers a generous benefits package to full-time employees, which includes comprehensive health, dental and vision plans; a superior 401(k) plan, various paid time off programs; employee discount/perks; life insurance; disability insurance; flexible spending accounts; and an employee referral bonus program. This job will be posted for a minimum of 5 days. While at Sephora, you’ll enjoy… The people. You will be surrounded by some of the most talented leaders and teams – people you can be proud to work with. The learning. We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans. The culture. As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty. You can unleash your creativity , because we’ve got disruptive spirit. You can learn and evolve , because we empower you to be your best. You can be yourself , because you are what sets us apart. This , is the future of beauty. Reimagine your future, at Sephora. Sephora is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Sephora is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Sephora will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. #J-18808-Ljbffr Sephora USA, Inc

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