Machine Learning Data Scientist: Paid 12-week program (application deadline: 6/9/25) at Stitch Fix

CSI-Cancer: USC Michelson Center Convergent Science Institute in Cancer; Los Angeles (CA); Remote; USD 80,000 - 100,000; Full time

Job summary

Stitch Fix offers a 12-week paid internship for aspiring Machine Learning Data Scientists, focusing on impactful NLP and LLM projects. Candidates will enhance their skills while working with advanced ML techniques and collaborating with experienced engineers. Outstanding performance may lead to a full-time offer.

Qualifications

• Early-career or final-year student in relevant fields.
• Familiarity with NLP and ML techniques is essential.
• Experience with model evaluation and embedding creation.

Responsibilities

• Work on NLP and ML projects, contributing from research to deployment.
• Improve recommendations and personalization through ML models.
• Engage in dataset curation and reporting model performance.

Skills

NLP

Data Science

Communication

Collaboration

Education

Degree in Computer Science, Statistics, Mathematics, or Physics

Tools

Python

OpenAI APIs

JupyterHub

Airflow

Hive

DataDog

Job description

Machine Learning Data Scientist: Paid 12-week program (application deadline: 6/9/25) at Stitch Fix

Apply now to join a 12-week paid program as a Machine Learning Data Scientist at Stitch Fix, with an application deadline of June 9, 2025. This program offers aspiring ML data scientists the opportunity to work on impactful projects in e-commerce and personalization, focusing on NLP and LLM techniques.

Application instructions: Email your resume to [e-mail] with the subject: “Styling algos ECP application”. Include answers to the screening questions at the bottom of this job post in your email.

Work location: Remote, USA

Application deadline: June 9, 2025

About Stitch Fix

Stitch Fix is transforming retail by combining art and science to deliver personalized shopping experiences through expert styling, proprietary technology, and unique products.

About The Team

Our team drives innovation by building and deploying ML models that enhance personalization, operations, and client experience. We value curiosity, creativity, and measurable results.

About The Role

We seek an Early Career Professional (ECP) for a 12-week program (July 7–Sept 26, 2025). You will work on NLP and LLM projects, contributing across the ML lifecycle from research to deployment. Outstanding performance may lead to a full-time offer.

What You’ll Love

• Using NLP to improve recommendations and personalization
• Working with tools like OpenAI APIs, JupyterHub, Airflow, Hive, DataDog
• Learning to deploy models in production with guidance from experienced engineers

What We’re Looking For

• Early-career professional or final-year student in CS, stats, math, physics, etc.
• Familiar with NLP topics (e.g., topic modeling, summarization, QA) and evaluation methods
• Experience building embeddings from text data
• Applying prompt engineering techniques like RAG with LLMs
• Knowledge of fine-tuning LLMs with PyTorch or HuggingFace (e.g., LoRA, continued pretraining, distillation)
• Dataset curation and clear reporting of model performance
• Clear communication, adaptability, curiosity, collaboration, and multi-task management

Screening Questions

• What courses, certificates, and education have you completed in NLP and/or ML? (Include institution and course number if applicable)
• Describe your most impressive NLP or prompt engineering projects, with links to repositories, talks, blog posts, or Kaggle competitions. (Note: AI-generated submissions disqualify you.)
• What Python libraries do you use for data science and NLP?
• Are you based in the U.S., and authorized to work during the program dates?
• Do you understand the compensation range of $52–$65/hour, based on location, and is it non-negotiable?
• Do you have legal work authorization for this program? (Visa sponsorship is not provided.)

Additional Details

Seniority level: Internship

Employment type: Full-time

Job function: Other

Industry: Research Services