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Internship Machine Learning Engineer New Grad Jobs

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Internship Machine Learning Engineer New Grad information

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$25.5K

$42.6K

$88K

How much do internship machine learning engineer new grad jobs pay per year?

As of Jun 1, 2026, the average yearly pay for internship machine learning engineer new grad 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 Machine Learning Engineer New Grad, and why are they important?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do Machine Learning Engineer interns typically work on, and how do these contribute to the overall team's goals?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What does an Internship Machine Learning Engineer New Grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

More about Internship Machine Learning Engineer New Grad jobs
What cities are hiring for Internship Machine Learning Engineer New Grad jobs? Cities with the most Internship Machine Learning Engineer New Grad job openings:
What are the most commonly searched types of Machine Learning Engineer New Grad jobs? The most popular types of Machine Learning Engineer New Grad jobs are:
What states have the most Internship Machine Learning Engineer New Grad jobs? States with the most job openings for Internship Machine Learning Engineer New Grad jobs include:

Junior Machine Learning Engineer, News Team (Cupertino)

Jobright.ai

Cupertino, CA

Full-time

Medical, Vision, Retirement

Posted 3 days ago


Job description

Junior Machine Learning Engineer, News Team

Join to apply for the Junior Machine Learning Engineer, News Team role at Jobright.ai

Junior Machine Learning Engineer, News Team

1 day ago Be among the first 25 applicants

Join to apply for the Junior Machine Learning Engineer, News Team role at Jobright.ai

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Job Summary:

Apple is a company where new ideas quickly become phenomenal products and services. The Apple News team is looking for a passionate and self-driven Machine Learning Engineer to design and implement advanced machine learning models that enhance user experiences in the News domain.

Responsibilities:

Design and implement state-of-the-art machine learning models that process text, personalize feeds, and make the impossible possible.

Collect model training data, design model architecture, and train custom or fine tuned models or adapters suited for application features.

Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.

Drive application features from concept, model design, development and all the way to delivery.

Join a thriving machine learning community at Apple.

Qualifications:

Required:

MS in Machine Learning, Computer Science or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.

At least 2 years of experience shipping machine learning models in products.

Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.

Ability to communicate effectively and collaborate with partner teams.

Committed to encouraging an open and inclusive work environment.

Preferred:

Ph.D. in Machine Learning, Computer Science, or related field

5 years of experience shipping machine learning models in products

Experience with personalized ranking and scoring is a plus

Experience with text data and NLP tasks is a plus

Experience delivering high quality software at scale is a plus

Experience designing user-facing machine learning features with interdisciplinary partners is a plus.

Company:

Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, California, USA, with a team of 10001+ employees. The company is currently Public Company. Apple has a track record of offering H1B sponsorships.

Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • IndustriesSoftware Development

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Medical insurance

Vision insurance

401(k)

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