Intern, Retail Data Technology

SEPHORA

Oct 16

Applications are closed

Internship
Full-time
Summer Internship
Data
IT & Cybersecurity
San Francisco
Remote

Requirements

Education: Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related field.
Programming Skills: Proficiency in programming languages such as Python. Experience with ML libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
Mathematical Foundation: Strong understanding of fundamental concepts in statistics, linear algebra, calculus, and probability.
Machine Learning Knowledge: Familiarity with supervised and unsupervised learning techniques, model evaluation, and feature engineering.
Generative AI Knowledge: Familiarity with generative models such as GANs, VAEs, and autoregressive models.
Analytical Skills: Ability to analyze complex data sets and derive meaningful insights.
Problem-Solving: Strong problem-solving skills and a proactive attitude towards tackling technical challenges.
Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Team Player: Ability to work effectively in a collaborative team environment.
Experience with data visualization tools such as Tableau.
Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
Knowledge of natural language processing (NLP), computer vision, or other specialized AI/ML domains.
Previous internship or project experience in generative AI or machine learning.
Experience with version control systems like Git.
Graduating in 2024 or 2025 (undergraduate or graduate degree)
Remote & hybrid program – work schedule must align with 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 for the 1-week On-Site office experience in San Francisco, CA

Responsibilities

Data Preparation: Assist in collecting, cleaning, and preprocessing large datasets to ensure they are suitable for training generative and machine learning models.
Model Development: Work with senior data scientists and engineers to design, implement, and fine-tune traditional machine learning models and generative models such as GANs, VAEs, and autoregressive models.
Research and Innovation: Stay current with the latest research in generative AI and machine learning, and propose innovative approaches to solve complex problems.
Experimentation: Conduct experiments to evaluate model performance, optimize hyperparameters, and improve the quality of generated outputs.
Tool Development: Develop and maintain tools and scripts to streamline the training, evaluation, and deployment of generative AI and ML models.
Collaboration: Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to integrate AI solutions into products and services.
Documentation: Document methodologies, experiments, and code to ensure reproducibility and facilitate knowledge sharing within the team.
Presentations: Prepare and deliver presentations on project progress, findings, and outcomes to stakeholders and team members.

FAQs

What is the job title for this position?

The job title is Intern, Retail Data Technology.

Where is the job located?

The job is remote, with the company address listed as FSC, Remote, CA 94105, United States.

What type of employment is this position offering?

This position is offering a full-time internship.

What are the main responsibilities of this internship?

Key responsibilities include data preparation, model development, research and innovation, experimentation, tool development, collaboration with cross-functional teams, documentation, and presentations.

What educational background is required for this position?

Candidates should be currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related field.

What programming skills are necessary for this internship?

Proficiency in programming languages such as Python and experience with ML libraries and frameworks like TensorFlow, PyTorch, and scikit-learn are necessary.

What are the eligibility requirements for this internship?

Applicants must be graduating in 2024 or 2025, must reside and work in the U.S., be open to relocating to the San Francisco Bay Area upon graduation, and must be available for a 1-week on-site experience in San Francisco, CA.

What is the salary range for this internship?

The annual base salary range for this position is $23.00 per hour.

Are there opportunities for learning and development during the internship?

Yes, Sephora invests in training and developing teams, providing personalized career plans for interns to continue evolving their skills.

Does Sephora value diversity in its hiring process?

Yes, Sephora is an equal opportunity employer and values diversity, ensuring no discrimination based on various factors including race, religion, gender, and more.

Will the intern be required to work in-person at any point?

Yes, there is a requirement to participate in a 1-week on-site office experience in San Francisco, CA.

Is there an opportunity for full-time positions after the internship?

Yes, interns may be considered for full-time hybrid positions upon graduation if they are open to relocating to the San Francisco Bay Area.

SEPHORA

Reimagine your future, with Sephora

Retail & Consumer Goods

Industry

10,001+

Employees

1969

Founded Year

Mission & Purpose

At Sephora, we stand together and we stand for something more since 1969. For empowerment, for exploration, for the opportunity to impact people’s lives through the unlimited power of beauty. As part of the LVMH family, Sephora’s excellence, innovation, and entrepreneurial spirit have made us the world’s leading beauty retailer growing twice faster than the market. With our 3 000 stores & corners in 36 markets and our 31 websites, we offer clients a unique retail experience with innovative services and nearly 300 beauty brands including Sephora’s own brand, Sephora Collection. Beautifying people’s lives is a full-time challenge that our more than 46 000 passionate in-store and Head Office team members tackle every day. At Sephora, 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. Sparked by energy and excitement, our passion is contagious. So if you are ready to make your mark at a leading global retailer and belong to something beautiful, join us and reimagine your future, with Sephora.