Machine Learning Intern (Summer 2025)

Why Glassdoor?

When you work for Glassdoor, you help people everywhere get ahead in work and life. That’s because we’re moving fast to become the leading community for workplace conversations. Every day, we foster radical transparency by giving professionals a platform to connect authentically and anonymously. Think real talk with real people — plus company reviews and ratings, salary info, job listings and more. 

Join us as we make worklife better, together.

About the Role

We are looking for a Machine Learning Intern with a strong foundation in Machine Learning and Computer Science to join our team in Summer 2025. This remote role is part of the Machine Learning Science team, which focuses on developing and maintaining machine learning models that support a wide range of business domains at Glassdoor.

As an intern, you will participate in the end-to-end machine learning lifecycle, working on real-world projects. You will collaborate closely with stakeholders to identify opportunities for solving key ML problems or enhancing existing models. 

By the end of your internship, you will gain:

• Hands-on experience building large-scale ML models.
• A deeper understanding of Machine Learning concepts and their practical applications in a professional environment.
• The opportunity to deliver meaningful and impactful results to the business, its customers, and its users.

Hourly Pay: $40.00

What You’ll Do

• Collaborate with project stakeholders to understand requirements, gather relevant data, and translate business needs into machine learning problems.
• Engage in the full machine learning lifecycle, including designing, developing, feature engineering, training, and deploying models.
• Present your work by outlining your approach, key design decisions, results, and their business impact to the team.
• Contribute to team discussions and participate in paper presentations, promoting a culture of knowledge-sharing and continuous learning.

What You’ll Bring

• Currently enrolled in a graduate program (master or doctorate) in Computer Science, Machine Learning, Statistics, Natural Language Processing (NLP), or a related field.
• Strong foundation in Computer Science concepts.
• Solid understanding of Machine Learning fundamentals.
• Proficiency in Python and SQL.
• Strong written and verbal communication skills to articulate technical concepts clearly.
• Ability to work effectively and collaboratively in a team environment.
• Excellent problem-solving skills with a detail-oriented and analytical mindset.

Glassdoor Internship Program 

• 12 week virtual program where you'll manage projects and tasks, participate in engaging virtual events, and learn valuable skills! 
• Opportunity for in-person connections with your fellow interns! 
• Full-time program (8 hours per day, 40 hours per week). 
• Fully remote: work almost anywhere within the United States. 
• Fully paid program and paid company holidays. 
• Two cohort dates: 
• May 27 - August 15, 2025
• June 2 - August 22, 2025

Our Commitments

• Come as you are: At Glassdoor diversity is not a slogan; it’s a core factor in our success. We welcome your background, experience and ideas because you help us understand and better serve our world. You make us stronger.
• Grow your career: Glassdoor is small enough for you to see the impact of your contributions, while large enough to offer significant resources and endless opportunities to grow. This is a great place to make a career.
• Find your people: Ask anyone who works here: it’s the people who make the difference. We are a group of well-rounded humans who support one another and work hard together to bring the Glassdoor mission to life.
• Discover flexibility: With flexible hours and a where-to-work policy, Glassdoor allows you to take on professional and personal responsibilities — enhancing both productivity and your well-being. 

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to creating a community of inc