Talantix.io
Experian•22.02.26
AI SCORE 8.0

ML Engineer Summer Intern - Remote

$40K–$60K/year
RemoteSoftware Development
Python•Machine Learning•Generative AI•Data Analysis•Software Development

About the Role

The ML Engineer Summer Intern position at Experian offers students the opportunity to work on real-world projects in machine learning and AI, gaining hands-on experience with the latest technologies under the guidance of experienced engineers. This is a fantastic chance to kickstart your career as a ML Engineer Intern remote and make a meaningful impact in the field of AI.

What You'll Do

  • Gain hands-on experience with machine learning and generative AI.
  • Support the development and evaluation of ML/AI models.
  • Apply supervised learning techniques for classification and regression.
  • Explore generative AI models for various use cases.
  • Analyze datasets using Python libraries.
  • Contribute to software development projects.
  • Present findings and participate in team collaborations.

Requirements

  • Currently enrolled in a Bachelor's or higher in Computer Science or related field.
  • Experience with Python and relevant libraries.
  • Exposure to machine learning concepts and algorithms.
  • Familiarity with generative AI frameworks.

Nice to Have

  • Previous internship experience in machine learning or AI.
  • Knowledge of data visualization tools.
  • Understanding of cloud computing platforms.

What We Offer

  • Fully remote position.
  • Volunteer Time Off.
  • Great compensation.
  • Flexible work schedule.
  • Eligible for 401(k) participation in 90 days.
Why This Job8.0 of 10

This internship offers a unique opportunity for students to gain real-world experience in machine learning and AI while working remotely. The flexible schedule and volunteer time off are standout benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficiency in Python programming, with hands-on experience using libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and machine learning tasks.

→

Strong analytical mindset and problem-solving skills, able to interpret complex datasets and implement machine learning algorithms effectively in a remote work environment.

→

Eagerness to learn and adapt quickly to new technologies in machine learning and generative AI, with a proactive approach to seeking guidance and feedback from mentors.

Learning Resources

→Python for Data Science Handbookguide
→Introduction to Machine Learning with Pythoncourse
→Machine Learning Crash Coursearticle

Career Path

ML Engineer Summer Intern - Remote(Now)→Junior Machine Learning Engineer(1-2 years)→Machine Learning Engineer(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
22.5%
AI Adoption in Python
75%
Investment in AI Startups
+150%
Labour Demand for ML Engineers
+40%
Avg Salary for ML Engineers
$112K

Skills & Requirements

Required
PythonMachine LearningGenerative AI
Growing in Demand
Deep LearningNatural Language Processing (NLP)Cloud Computing (AWS, Azure)
Declining
RMATLAB

Domain Trends

Rise of Generative AI
Generative AI tools are increasingly being integrated into applications, with a 300% increase in usage among developers in the last year.
Remote Work Adoption
Remote work for tech roles, especially in machine learning, has risen to 85%, leading companies to seek global talent.
Python Dominance in Data Science
Python remains the leading language for data science, with over 60% of data scientists preferring it for its libraries and community support.

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