Intern, Retail Data Technology

Remote, CA, US, USA 519959

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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 experience in generative AI or machine learning.
  • Experience with version control systems like Git.

 

Eligibility Requirements: 

  • 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 

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

 

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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Category: Deep Learning Jobs

Tags: Autoregressive models AWS Azure Computer Science Computer Vision Data visualization Engineering Feature engineering GANs GCP Generative AI Generative modeling Git Google Cloud Linear algebra Machine Learning Mathematics ML models NLP Python PyTorch Research Scikit-learn Statistics Tableau TensorFlow Unsupervised Learning

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States

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