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Job details

Machine Learning Intern

SHEIN is looking for a Machine Learning Intern to join their U.S. AI team to work on developing an alert system using machine learning techniques.

Skills

  • Proficiency in Python (sklearn, pyspark)
  • Hands-on project or internship experience in data engineering or machine learning.
  • Experience with SQL and cloud platforms.

Responsibilities

  • Develop and enhance machine learning models.
  • Develop key metrics to track online performance.
  • Improve the machine learning infrastructure and pipeline.
  • Participate in the full development cycle.
  • Explore applications of Large Language Models in the project.

Education

  • A Bachelor's degree or above in Data Science, Computer Science or related fields.

Benefits

  • Complimentary daily office snacks and beverages
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$49400 / YEARLY (est.)
min
max
$15600K
$83200K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Intern, SHEIN

Are you passionate about machine learning and eager to kickstart your career in the field? At SHEIN, a global fashion and lifestyle e-retailer based in Bellevue, WA, we are on the lookout for a motivated Machine Learning Intern to join our U.S. AI team for Summer 2025! In this exciting role, you will dive into a project focused on developing an alert system that uses Azure monitoring metrics to predict potential system failures. Your main goal will be to create an early warning mechanism that ensures our systems run smoothly and efficiently, reducing downtime and enhancing reliability. You'll collaborate closely with senior engineers and data scientists, providing opportunities to learn best practices in ML model development and gaining hands-on experience in a supportive environment. From optimizing models that detect vulnerabilities in our production systems to exploring the innovative applications of Large Language Models, this internship promises a fulfilling experience where your ideas translate into impactful solutions. Join us in our energetic and open culture as we work together to make fashion more accessible while advancing the frontiers of technology!

Frequently Asked Questions (FAQs) for Machine Learning Intern Role at SHEIN
What are the responsibilities of a Machine Learning Intern at SHEIN?

As a Machine Learning Intern at SHEIN, your responsibilities include developing machine learning models to identify vulnerabilities in our production system, collaborating with cross-functional teams to achieve business goals, and improving the machine learning infrastructure and pipelines. You'll also participate in the full development cycle of projects and have the chance to explore the use of Large Language Models.

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What qualifications do I need to become a Machine Learning Intern at SHEIN?

To qualify for the Machine Learning Intern position at SHEIN, you should have a Bachelor's degree or higher in Data Science, Computer Science, or a related field, alongside proficiency in Python. Experience in machine learning, particularly with models like xgboost and lightGBM, is also essential. Additional programming languages such as C++ and familiarity with cloud platforms like AWS or Azure would be advantageous.

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What learning opportunities does SHEIN provide for Machine Learning Interns?

SHEIN offers an enriching environment for Machine Learning Interns, where you will receive guidance from experienced engineers and data scientists. You will learn best practices in ML model development and enhance your skills through hands-on projects, particularly focusing on developing predictive models and exploring large language models.

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What programming skills are crucial for a Machine Learning Intern at SHEIN?

Crucial programming skills for a Machine Learning Intern at SHEIN include proficiency in Python, particularly with libraries like sklearn and pyspark. Experience working with traditional and deep learning models, as well as SQL for database management, is also essential. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus.

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What type of projects will I work on as a Machine Learning Intern at SHEIN?

As a Machine Learning Intern at SHEIN, you will work on projects aimed at enhancing system reliability through predictive analytics. Specifically, you’ll be involved in building an alert system that uses Azure system monitoring metrics, and you may also explore innovative machine learning techniques like Retrieval-Augmented Generation to improve system alert mechanisms.

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Common Interview Questions for Machine Learning Intern
What interests you about machine learning and the role at SHEIN?

In answering this question, highlight your passion for machine learning and its applications in solving real-world problems. Discuss how SHEIN's focus on technology and innovation excites you and aligns with your career goals.

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Can you explain how you would approach developing a machine learning model?

For this question, outline the steps you would take, including understanding the problem, data collection, preprocessing, selecting the model, training, and evaluating its performance. Be specific about any tools or frameworks you would use and why.

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What programming languages are you most comfortable with and why?

Discuss your proficiency in programming languages relevant to machine learning, such as Python and any experience with C++. Explain how each language's features help you effectively implement machine learning projects.

Join Rise to see the full answer
Tell me about a project where you implemented a machine learning model.

Share specific details of a project where you applied machine learning, including the problem it addressed, your approach, and the outcome. Emphasize what you learned from the experience and how it has prepared you for the intern role.

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How do you handle data preprocessing, and why is it important?

Explain that data preprocessing is crucial for ensuring high-quality input for models. Discuss techniques like cleaning, normalization, and feature selection, and how these contribute to model accuracy and performance.

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What do you know about Azure and its applications in machine learning?

Talk about your understanding of Azure's machine learning capabilities, such as Azure ML services. Mention how you've used or studied Azure for model training, deployment, or monitoring, underscoring your familiarity with the platform.

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Describe a time you faced a technical challenge and how you overcame it.

Use a specific example to illustrate a technical challenge in a project, detailing your problem-solving approach. Highlight collaboration with others and resource utilization to find a solution, showcasing your resilience and teamwork skills.

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What metrics would you consider when evaluating model performance?

Highlight metrics such as accuracy, precision, recall, and F1 score, depending on the model's application. Explain why each metric is critical and how they guide decisions in refining machine learning models.

Join Rise to see the full answer
How do you stay updated on machine learning trends and technologies?

Mention resources like research papers, online courses, and blogs that you follow. Highlight any communities or forums where you network with practitioners and share knowledge about the latest developments in machine learning.

Join Rise to see the full answer
If hired as a Machine Learning Intern at SHEIN, what would be your first steps?

Discuss the importance of understanding the existing systems and models first. Outline a plan to meet with your team, learn about current projects, and identify areas where you can contribute effectively to ongoing initiatives.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
SALARY RANGE
$15,600/yr - $83,200/yr
EMPLOYMENT TYPE
Internship, on-site
DATE POSTED
March 20, 2025

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