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Internship Graduate Machine Learning Jobs (NOW HIRING)

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Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program ... of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Advantest

Machine Learning Engineer

San Jose, CA · On-site

This position is ideal for a recent graduate with strong foundational ML skills who is eager to ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

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Internship Graduate Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship graduate machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for internship graduate machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Graduate in Machine Learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What types of projects do Internship Graduate Machine Learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are Internship Graduate Machine Learning positions?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

More about Internship Graduate Machine Learning jobs
What cities are hiring for Internship Graduate Machine Learning jobs? Cities with the most Internship Graduate Machine Learning job openings:
What are the most commonly searched types of Graduate Machine Learning jobs? The most popular types of Graduate Machine Learning jobs are:
What states have the most Internship Graduate Machine Learning jobs? States with the most job openings for Internship Graduate Machine Learning jobs include:
What job categories do people searching Internship Graduate Machine Learning jobs look for? The top searched job categories for Internship Graduate Machine Learning jobs are:
Internship Graduate Machine Learning jobs near you
Infographic showing various Internship Graduate Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (Phd)

ByteDance

San Jose, CA • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
ByteDance is a global tech company known for its innovative products like TikTok. They are seeking a graduate Machine Learning Engineer to design and implement machine learning algorithms to enhance recommendation systems and improve e-commerce experiences for users.
Responsibilities:
• Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
• Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
• Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
• Analyze complex datasets to derive insights that guide strategic decisions.
• Stay up-to-date with the latest machine learning developments, incorporating them into your work.
Qualifications:
Required:
• Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
• Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Thorough understanding of data structures and algorithms, with excellent problem-solving ability.
• Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
Preferred:
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Internship experience or research experience, especially in e-commerce, recommendation, search engine.
• Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.

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