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Senior Engineer, Machine Learning

Sephora USA, Inc
San Francisco, California, US
Full-time

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

Technology

Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.

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 Machine Learning Engineer to come in and drive the operationalization of AI / ML initiatives for the enterprise.

Sephora continues to inspire our loyal customers in the beauty space and AI / ML is redefining the way we inspire our customers.

As a Senior Machine Learning Engineer, 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.

We are looking for someone who is committed to a lifelong journey of learning and exploration of new technology and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale.

Responsibilities :

  • Responsible for delivering projects to operationalize AI / ML models across the enterprise, including acting as a center of excellence to drive adoption of ML / AI by autonomous, domain-specific engineering pods.
  • Build, maintain, and improve a suite of new and existing AI / ML 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.
  • Collaborate with Product, Engineering and Business teams.
  • Write efficient, well-organized software to ship products in an iterative, continuous-release environment.
  • Good 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 :

  • Degree in engineering, computer science, mathematics, or a related field.
  • 4+ years’ experience in software / application engineering.
  • 2+ years’ experience developing and deploying machine learning systems into production.
  • 2+ years’ experience with at least one cloud platform (Azure, GCP, AWS) and associated ML services, including Databricks.
  • Strong understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns.
  • An advocate for 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.
  • Proven experience deploying stable, real-time ML systems.
  • Experience optimizing the model training process for deep learning frameworks such as PyTorch, Tensorflow, Keras or similar.
  • Experience working with a variety of relational SQL and NoSQL databases.
  • Solid and practical understanding of data pipelines and tools.
  • Expertise managing changes in object-oriented applications.
  • Experience working with distributed systems, service-oriented architectures and designing APIs.
  • Assertive and friendly, opinionated and good at compromise, practical, genuine, a big picture thinker with command of the details.
  • 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. (Think your friends and family love you now?

Just wait until you work at Sephora!)

  • 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 $142,020.00 - $175,300.00. 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.

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1 day ago
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