Talantix.io
Experian•22.02.26
AI SCORE 8.5

ML Engineer Summer Intern - Remote

$30K–$40K/year
RemoteSoftware Development
Python•Java•C++•Machine Learning•Data Analysis•Generative AI

About the Role

We are excited to announce an opportunity for a ML Engineer Summer Intern - Remote at Experian. As part of our Analytics team, you will work on developing innovative tools to enhance operational efficiency and automate processes while contributing to ongoing projects. This internship offers a unique chance to gain hands-on experience in data science technology, all while working remotely.

What You'll Do

  • Develop tools for operational efficiency and improve automation and test coverage.
  • Analyze cost efficiency for infrastructure and expand project modules.
  • Collaborate with experienced professionals to gain insights into the field of machine learning.
  • Participate in ongoing projects that impact the company's analytics capabilities.
  • Work under flexible schedules that accommodate your academic commitments.

Requirements

  • Currently enrolled in a Bachelor's program in Math, Statistics, Computer Science, Engineering, or a related field.
  • Must be returning to school in Fall 2026.
  • Experience in programming languages such as Java, Python, or C++.
  • Familiarity with Generative AI technologies is a plus.
  • A passion for data science and machine learning.

Nice to Have

  • Previous internship experience in data science or machine learning.
  • Knowledge of data analysis tools and frameworks.

What We Offer

  • Fully remote work environment.
  • Volunteer Time Off to support your community.
  • Competitive compensation for your contributions.
  • Flexible work schedule to balance your studies.
  • Eligibility for 401(k) participation after 90 days.
Why This Job8.5 of 10

This remote ML Engineer Summer Intern position at Experian offers a unique opportunity to gain hands-on experience in a globally recognized internship program. With flexible hours and competitive compensation, it's perfect for students pursuing careers in data science.

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

Who Will Succeed Here

→

Proficiency in Python and experience with libraries such as NumPy and Pandas for data manipulation and analysis, demonstrating the ability to implement machine learning algorithms effectively.

→

Strong adaptability to remote work environments, showcasing self-motivation and effective time management skills to meet project deadlines without direct supervision.

→

A foundational understanding of Generative AI principles and familiarity with frameworks like TensorFlow or PyTorch, combined with a passion for learning and applying new technologies in real-world scenarios.

Learning Resources

→Python for Data Science Handbookguide
→Introduction to Machine Learning with Pythoncourse
→Generative Deep Learningbook

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
$15.5B
Annual Growth
22.3%
AI Adoption
78%
Investment
+50%
Labour Demand
+35%
Avg Salary
$120K

Skills & Requirements

Required
PythonJavaC++
Growing in Demand
TensorFlowPyTorchScikit-learn
Declining
MATLABR

Domain Trends

Rise of Generative AI
Generative AI technologies are expected to grow by 40% in adoption among enterprises by 2025, driving demand for ML engineers skilled in this area.
Increased Focus on Ethical AI
By 2024, 60% of companies will prioritize ethical AI practices in their ML projects, necessitating knowledge in bias mitigation and fairness.
Shift Towards AutoML
The AutoML market is projected to reach $10B by 2025, indicating a trend where ML engineers will need to adapt to automated machine learning solutions.

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