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Machine Learning Developer Intern Jobs (NOW HIRING)

Celerant Tech

Software Developer Intern

Iselin, NJ · On-site

$19.50 - $25.75/hr

Key Characteristics of a Software Developer Intern: 1. Learning-Oriented: · Their primary goal is to learn industry practices, tools, and workflows. · They observe and apply concepts from their ...

Full Scope

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 ... DevOps experience, and a track record of building production systems. Experience within energy ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

Compunnel

Machine Learning Engineer

Philadelphia, PA · On-site

JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise and recent PySpark experience to build, deploy, and support production-ready machine learning ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves * Experience with distributed processing (e.g., Spark or Ray). Understanding of autonomous driving ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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All JobsMachine Learning Developer Intern Jobs

Machine Learning Developer Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 9, 2026, the average yearly pay for machine learning developer 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.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

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

Software Developer Intern

Celerant Tech

Iselin, NJ • On-site

$19.50 - $25.75/hr

Internship

Re-posted 14 days ago

Job description

Description:

A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects.

Key Characteristics of a Software Developer Intern:

1. Learning-Oriented:

· Their primary goal is to learn industry practices, tools, and workflows.

· They observe and apply concepts from their education to practical problems.

2.

A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects.

Key Characteristics of a Software Developer Intern:

1. Learning-Oriented:

· Their primary goal is to learn industry practices, tools, and workflows.

· They observe and apply concepts from their education to practical problems.

2. Responsibilities:

· Writing and testing code under supervision.

· Assisting with debugging and fixing software bugs.

· Creating or updating documentation.

· Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum).

3. Skills and Tools:

· Familiarity with programming languages such as Python, Java, or JavaScript.

· Basic knowledge of version control systems like Git.

· Awareness of frameworks, libraries, or tools relevant to the team’s tech stack.

· Exposure to database systems, APIs, or cloud platforms is a plus.

4. Supervision and Mentorship:

· Interns often work closely with assigned mentors or team members.

· Their work is regularly reviewed to ensure quality and adherence to standards.

5. Professional Development:

· They gain experience in communication, collaboration, and problem-solving.

· Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback.

6. Duration:
Internships last between a few months to years.

What Makes a Good Software Developer Intern:

· Eagerness to learn and adapt.

· Strong problem-solving skills.

· A proactive attitude in asking questions and seeking guidance.

· Basic coding knowledge and a willingness to improve.

· Good communication and teamwork skills.

5. Professional Development:

· They gain experience in communication, collaboration, and problem-solving.

· Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback.

6. Duration:
Internships last between a few months to years.

What Makes a Good Software Developer Intern:

· Eagerness to learn and adapt.

· Strong problem-solving skills.

· A proactive attitude in asking questions and seeking guidance.

· Basic coding knowledge and a willingness to improve.

· Good communication and teamwork skills.

Requirements:

Responsibilities:

· Writing and testing code under supervision.

· Assisting with debugging and fixing software bugs.

· Creating or updating documentation.

· Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum).

3. Skills and Tools:

· Familiarity with programming languages such as Python, Java, or JavaScript.

· Basic knowledge of version control systems like Git.

· Awareness of frameworks, libraries, or tools relevant to the team’s tech stack.

· Exposure to database systems, APIs, or cloud platforms is a plus.

4. Supervision and Mentorship:

· Interns often work closely with assigned mentors or team members.

· Their work is regularly reviewed to ensure quality and adherence to standards.