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Internship Graduate Machine Learning Jobs (NOW HIRING)

Instacart

OR

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics * You have 1-2 years industry machine learning ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer ... output PhD or Graduate degree with research/work experience utilizing data science techniques ...

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

Undergraduate or graduate degree in computer science or similar technical field * 4+ years experience as a machine learning engineer, with experience in training large deep learning models and ...

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All JobsInternship Graduate Machine Learning Jobs

Internship Graduate Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 22, 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.

How much do ML interns get paid?

Machine Learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often last 10 to 12 weeks and may include additional benefits such as mentorship and skill development opportunities.

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.

What are the big 4 internships?

The big 4 internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in areas such as audit, consulting, tax, and advisory services, often targeting students pursuing degrees in business, finance, or related fields. They are highly competitive and often include training, mentorship, and potential pathways to full-time employment.

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 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 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.

Which 5 jobs will survive AI?

Jobs that require complex human judgment, creativity, emotional intelligence, and specialized skills—such as healthcare professionals, data scientists, software developers, educators, and skilled tradespeople—are more likely to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate, especially when combined with continuous learning and adaptability.

Is PG in AI worth it?

A postgraduate degree in AI can enhance qualifications for machine learning internship roles by providing advanced knowledge of algorithms, data analysis, and programming skills. It may improve job prospects and salary potential but is not always mandatory, as practical experience and skills in tools like Python and TensorFlow are highly valued in the field.
More about Internship Graduate Machine Learning jobs
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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

Machine Learning Engineer (Intern - Fall 2026)

SRC, Inc.

Syracuse, NY

$22 - $26/hr

Other

Retirement, PTO

Posted 5 days ago

Job description

SRC, Inc.is currently seeking engineering interns for fall 2026 to support the research and development of machine learning and neuromorphic computing technologies within our defense and intelligence customer segments. We are looking for individuals to support the design, development and testing of advanced machine learning tools to leverage radar and communication systems data to solve a variety of challenges of national interest.
What You'll Do
  • Apply machine learning tools and techniques to images, video, signals and other data
  • Machine learning integration with hardware components
  • Perform data collection and run simulations to create machine learning data sets
  • Develop data visualization, demonstrations and presentations for customers
  • Verify and validate system functionality and performance
What You'll Bring
  • Two years of college with a degree focused in electrical engineering, computer engineering, or computer science
  • A minimum grade point average of 3.3. Most recent transcripts will be required with application (unofficial transcript is fine)
  • Strong teamwork, interpersonal and communication skills
Ways to Stand Out - Preferred Requirements
  • Coursework and/or experience with one or more of the following: signal processing, electromagnetics, computer vision, machine learning or neural networks
  • Experience with Python and MATLAB
What Sets Us Apart?
SRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve "impossible" problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that areredefining possible. When you join our team, you'll be a part of something truly meaningful - helping to keep America and its allies safe and strong. You'll collaborate with more than 1,400 engineers, scientists and professionals - with 20 percent of those employees having served in the military - in a highly innovative, inclusive and equitable work environment. You'll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.
Total compensation for this role is market competitive. The anticipated range for this position based out of Syracuse, NY is estimated at $22.00 to $26.00/hour. The actual salary will vary based on applicant's experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.

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