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Ml Engineer Intern Jobs (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.

Jaggaer

AI/ML Intern

Durham, NC

You will collaborate closely with our engineering and data science teams to bring AI-driven features from concept to production. As an AI/ML Intern, we expect you will learn about JAGGAER's business ...

HERE Technologies

Software Engineer Intern

Chicago, IL

$35/hr

Built skills at the intersection of data engineering, AI/ML, and knowledge representation About the ... Intern pursuing Master's degree in Computer Science, Machine Learning, AI, Data Science, or related ...

CUBRC Inc.

Software Engineer Intern

Buffalo, NY · Remote

$24 - $35/hr

SOFTWARE ENGINEER INTERN Position Summary: The successful candidate will perform research on new ... ML and AI enabled software tools supporting our defense, intelligence and homeland security ...

Alnylam

Intern, Statistical Programming

Cambridge, MA · On-site

$25 - $35/hr

This role provides hands-on experience in applying AI/ML techniques to statistical programming challenges, including data processing, analysis, and reporting. The intern will gain exposure to ...

HERE Technologies

Software Engineer Intern

Chicago, IL

$35/hr

Built skills at the intersection of data engineering, AI/ML, and knowledge representation About the ... Intern pursuing Master's degree in Computer Science, Machine Learning, AI, Data Science, or related ...

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

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How much do ml engineer intern jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for ml engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern, and why are they important?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What are ML Engineer Interns?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What types of projects and responsibilities can an ML Engineer Intern expect to work on during their internship?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.
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Ml Engineer Intern jobs near you
Research Engineer (Intern)

Research Engineer (Intern)

eGain Corporation

Sunnyvale, CA • On-site

$9K/mo

Internship

Posted 4 days ago

Job description

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Fortune 500 clients and government agencies trust eGain AI knowledge solution to improve customer experience and reduce cost of service. Top rated by Gartner, eGain AI Knowledge Hub orchestrates AI and experts to deliver trusted answers to customers, agents, and field staff.
We dream big and sweat details. We are diverse, optimistic, and tenacious. We take pride in what we do but we don't take ourselves too seriously. If work is fun for you, talk to us. We will not waste your time.
Responsibilities
  • Explore, evaluate, and experiment open-source and commercial XLM/ML-based tools and algorithms
  • Prototype and test new AI Knowledge capabilities and expert-guided AI tools
Education
  • Pursuing a Ph.D. in Computer Science, Data Science, or a related field from a top-tier US university
Our Hiring Process is "Easy with eGain"
Step 1
Written test
  • Aptitude section - this is a GRE style test (60 minutes or less)
  • Functional section - this is a take-home test

Step 2
Panel interview (in-person at eGain Sunnyvale office)
Next step
Email your resumé to [email protected] with the position title "Research Engineer (Intern)" in the email subject.
Compensation
  • The compensation is $9,000/month.

Please note that the compensation package can vary based on the candidate's qualifications and experience level.

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