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Internship Machine Learning Intern Jobs (NOW HIRING)

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on ...

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 ...

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... What You'll Gain Through this internship, you will gain: • Work on high-impact, real-world AI ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... What You'll Gain Through this internship, you will gain: • Work on high-impact, real-world AI ...

$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 ...

$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 ...

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Internship Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of Jun 3, 2026, the average yearly pay for internship machine learning intern 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 a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, a solid understanding of programming (especially Python), statistics, linear algebra, and foundational machine learning concepts is essential, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, eagerness to learn, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills enable interns to contribute meaningfully to projects, adapt to new challenges, and effectively communicate technical findings.

What types of projects do Machine Learning Interns typically work on, and how much autonomy can I expect?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, building and testing machine learning models, and collaborating on research or product development tasks. While you’ll usually work under the guidance of experienced engineers or researchers, many organizations encourage interns to take ownership of specific project components, propose solutions, and present findings. This balance between mentorship and autonomy helps interns gain practical experience while ensuring support is available when tackling challenging problems.

What are Machine Learning Interns?

Machine Learning Interns are students or early-career professionals who support teams in developing and implementing machine learning models and algorithms. They typically assist with data collection, cleaning, model training, and evaluation under the supervision of experienced engineers or scientists. These internships provide hands-on experience with real-world data science projects, often using programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to help interns build practical skills and contribute to ongoing machine learning initiatives within an organization.

What is the difference between Internship Machine Learning Intern vs Data Science Intern?

AspectInternship Machine Learning InternData Science Intern
Required SkillsBasic programming, machine learning concepts, Python, data analysisData analysis, statistics, programming, visualization
Work EnvironmentTech companies, research labs, startupsTech firms, consulting, finance, healthcare
Industry UsageMachine learning projects, model developmentData analysis, reporting, business insights

Both roles are internship positions in data-related fields, with Machine Learning Intern focusing on developing and applying machine learning models, while Data Science Intern emphasizes data analysis and insights. The roles often overlap but differ mainly in technical focus and project scope.

What cities are hiring for Internship Machine Learning Intern jobs? Cities with the most Internship Machine Learning Intern job openings:
What states have the most Internship Machine Learning Intern jobs? States with the most job openings for Internship Machine Learning Intern jobs include:
Machine Learning Intern

Machine Learning Intern

CloudDevs

Manhattan, NY • Remote

Internship

Posted 13 days ago


Job description

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on cutting‐edge projects that leverage machine learning algorithms and techniques. This role is crucial in helping Optimspace develop innovative solutions and enhance its products using data‐driven insights and predictive modeling.

As a Machine Learning Intern at Optimspace, you will be involved in projects that focus on data analysis, pattern recognition, and algorithm development. This role plays a key part in driving the company's success by contributing to the creation of intelligent systems and improving decision‐making processes. Join us to gain hands‐on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment.

Responsibilities Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development and implementation of machine learning algorithms. Conduct experiments to evaluate the performance of machine learning models.

Collaborate with team members to analyze data and generate insights. Contribute to the optimization and tuning of machine learning models. Assist in deploying machine learning models into production environments.

Stay updated on the latest trends and advancements in machine learning. Document processes, results, and findings for future reference. Requirements Pursuing a degree in Computer Science, Data Science, or related field.

Strong understanding of machine learning concepts and algorithms. Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and visualization tools like Pandas, NumPy, and Matplotlib.

Ability to work independently and in a team environment. Excellent problem‐solving and analytical skills. Good communication and interpersonal abilities.

Attention to detail and a passion for learning and growth. About the company Join our team at Optimspace and embark on a journey of growth and innovation. #J-18808-Ljbffr