Intern, Retail Data Technology

Job ID: 256932
Location Name: FSC REMOTE SF/NY/DC -173(USA_0173)
Address: FSC, Remote, CA 94105, United States (US)
Job Type: Full Time
Position Type: Intern/Trainee
Job Function: Information Technology
Remote Eligible:Yes

 

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:

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.

 

Your role at Sephora:

• 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.

 

We're excited about you if you have:

• 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 exper