Hiring.Camp

Intern, Product Management, Connecting Clients, Channels and Fulfillment

Sephora

·

Today

Salary
$30+
Location
Fresno, CA,US, US
Type
Internship
Department
IT
Seniority
Internship
Education
PhD
Source
Eightfold

Description

Job ID: 297535

Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)

Address: FSC, Remote, CA REMOTE, United States (US)

Job Type: Full Time

Position Type: Intern/Trainee

Job Function: Internship

Work Location: Remote

Belong to Something Beautiful

At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.

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 ExtraOrdinary in each of us. We are united by a common goal - to reimagine the future of beauty.

The opportunity:

Sephora Internships provide an inclusive and comprehensive experience that equips young professionals with the tools needed to align their passions with work. The 10-week internship program develops early career professionals by providing interns with hands-on learning, personal and professional networking opportunities, and the ability to work on projects that directly impact the business.

Program details:

An inclusive and engaging experience that develops technical and professional skills through weekly virtual workshops, networking opportunities, and career panels that provide exposure to Sephora's career growth opportunities.

2027 Program dates:

  • June 14 - August 20, 2027
  • Working hours: 36hrs/week. Monday - Friday, PST
  • July 6 - July 9, 2027: Intern Optional Summer Shutdown

Position title:

Intern, Applied AI & Automation

Your role at Sephora...

As the Applied AI & Automation Intern, you will design and build AI solutions for complex business challenges. You will work with AI engineers, data scientists, and business teams to take high-value use cases from problem definition and data exploration through a working proof of concept. The role will contribute to Sephora's evolving human-agentic operating model, where AI supports predictive insights, integrated decision support, exception management, and workflow automation.

What you will accomplish:

  • Design, train, evaluate, and iterate on machine learning models for real-world business use cases.
  • Build agentic AI solutions capable of reasoning, retrieving information, using tools, and orchestrating multi-step workflows.
  • Rapidly develop data science and AI proofs of concept using Python, SQL, machine learning frameworks, and enterprise data.
  • Build retrieval-augmented generation pipelines, tool-calling capabilities, multi-agent workflows, and context-aware AI applications.
  • Perform data exploration, feature engineering, model experimentation, validation, and error analysis.
  • Demonstrate our Sephora values: Passion, Innovation, Expertise, Balance, Respect, Teamwork, and Initiative.

Qualifications & experience:

  • Pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, Statistics, or a related quantitative field.
  • Strong hands-on programming skills in Python and SQL.
  • Demonstrated experience building and evaluating machine learning or deep learning models.
  • Experience developing applications with large language models, retrieval-augmented generation, embeddings, vector databases, tool calling, or agentic frameworks.
  • Strong curiosity, technical depth, and willingness to experiment with emerging AI technologies.

Eligibility requirements:

  • Graduating in 2027 or 2028 (undergraduate or graduate degree)
  • Work schedule must align with 9-5PM, Pacific Standard Time
  • Must permanently reside and work in the U.S.
  • Must be open to relocating to the San Francisco Bay Area upon graduation for consideration for full-time hybrid positions*
  • Available from June 14 - August 20, 2027

What You’ll Get:

The target hourly pay for this position is $30.00 - $30.00. The actual hourly pay offered depends on various factors, which may include, as applicable, the individual 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.

  • Caring Community. You’ll collaborate with teammates who are equally passionate about innovating and driving the industry forward – together, united in beauty.
  • Fulfilling Path. Your career transformation starts here, with opportunities that will challenge, stretch and develop your skills.
  • Meaningful Work. As you make an impact on beauty, you’ll feel and see the positive change (consumer, industry, and social) that your individual voice is a part of.

Sephora values a diverse and inclusive workplace and considers all applicants without regard to sex, pregnancy, race, color, national origin, gender (including gender identity and gender expression), age, religion, sexual orientation, military/veteran status, disability, or any other protected category. Sephora is committed to providing reasonable accommodation ta applicants with disabilities or other medical conditions.

Sephora will consider all qualified applicants, including those with arrest and conviction records in a manner consistent with the requirements of all applicable laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Join Us and Belong to Something Beautiful

Skills

PythonSQLMachine LearningDeep LearningData Science

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