Job description

Job ID: 297537 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: Intern/Trainee Job Function: Internship Work Location: Hybrid-San Francisco Office Your safety matters to us All official Sephora US recruitment emails will come from a @sephora.com email address. We will never interview via text, ask you to download unfamiliar software, or request sensitive personal information such as your SSN or banking details via email, phone, or text. Learn more about Sephora on our official careers site inside-sephora.com, and search for verified US roles at join.sephora.com. 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.  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. Throughout the summer, interns will gain exposure to Sephora's culture, teams, and career opportunities while building both technical and professional skills. 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, Machine Learning Engineer Your Role At Sephora As the Intern, Machine Learning Engineer, you will support advanced machine learning and Generative AI initiatives that address complex business challenges. You will collaborate with cross-functional partners to develop data-driven solutions, experiment with emerging AI techniques, and help deliver working applications that advance Sephora's AI capabilities. What You'll Accomplish : • Participate in the design, development, testing, and deployment of advanced machine learning models and algorithms that address complex business challenges. • Apply Generative AI techniques to fine-tune models, support synthetic data generation and data augmentation, and engineer AI agents using commercial and open-source large language models. • Collaborate with domain experts, software engineers, and business stakeholders to translate requirements into actionable AI solutions and working applications. • Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare high-quality inputs for modeling, measurement, and testing. • Communicate findings and technical concepts to technical and non-technical audiences, while contributing to machine learning infrastructure, best practices, and experimentation with emerging AI techniques. • Demonstrate our Sephora values: Passion, Innovation, Expertise, Balance, Respect, Teamwork, and Initiative. Qualifications & Experience : • Experience with data science, machine learning, Generative AI, or agentic AI systems through coursework, projects, research, or prior work experience. • Proficiency in writing and testing object-oriented Python code, with hands-on experience using machine learning libraries and frameworks. • Working knowledge of deep learning frameworks such as TensorFlow or PyTorch and experience implementing AI models. • Knowledge of AI system design, measurement, testing techniques, SQL, and structured or unstructured data processing. • Strong analytical and creative problem-solving skills, with the ability to communicate technical concepts clearly to technical and non-technical audiences. • Exposure to cloud computing platforms such as AWS, Azure, or GCP and distributed computing is a plus. 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

Requirements

Must-haves

Job ID: 297537
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: Intern/Trainee
Job Function: Internship
Work Location: Hybrid-San Francisco Office
Your safety matters to us
Belong to Something Beautiful
Throughout the summer, interns will gain exposure to Sephora's culture, teams, and career opportunities while building both technical and professional skills.
June 14 - August 20, 2027
Working hours: 36hrs/week. Monday - Friday, PST
July 6 - July 9, 2027: Intern Optional Summer Shutdown
Position Title: Intern, Machine Learning Engineer
Your Role At Sephora
Participate in the design, development, testing, and deployment of advanced machine learning models and algorithms that address complex business challenges.
Apply Generative AI techniques to fine-tune models, support synthetic data generation and data augmentation, and engineer AI agents using commercial and open-source large language models.
Collaborate with domain experts, software engineers, and business stakeholders to translate requirements into actionable AI solutions and working applications.
Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare high-quality inputs for modeling, measurement, and testing.
Communicate findings and technical concepts to technical and non-technical audiences, while contributing to machine learning infrastructure, best practices, and experimentation with emerging AI techniques.
Demonstrate our Sephora values: Passion, Innovation, Expertise, Balance, Respect, Teamwork, and Initiative.
Experience with data science, machine learning, Generative AI, or agentic AI systems through coursework, projects, research, or prior work experience.
Proficiency in writing and testing object-oriented Python code, with hands-on experience using machine learning libraries and frameworks.

Nice-to-haves

Exposure to cloud computing platforms such as AWS, Azure, or GCP and distributed computing is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Effort: medium