Manager, Engineering, AI ML (San Francisco, CA, US, 50230885) - 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

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:

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

We are excited about you if you have:

• University or advanced degree in engineering, computer science, mathematics, or a related field
• 3+ years experience developing and deploying machine learning systems into production
• 5+ years of experience in Software engineering space.
• 1+ year of experience mentoring and managing Software / ML engineers.
• Experience working with a variety of relational SQL and NoSQL databases
• Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc.
• Experience with at least one cloud provider solution ( Azure, GCP)
• Experience working with Databricks.
• Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Industry experience building and productionizing creative end-to-end Machine Learning systems
• Experience with building and operationalize feature store.
• Experience working with distributed systems, service oriented architectures and designing APIs/ API Graph.
• Familiarity in deploying real-time ML systems on Azure Cloud through frameworks such as ONNX, MLEAP , TF Serving etc.  
• Familiarity with LLM, LLMOPs.
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
• Relevant working experience with Kubernetes.

The annual base salary range for this position is $181,440.00 - $200,000.00 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.