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Ml Engineer Intern Jobs (NOW HIRING)

Mantari

Software Engineer Intern

Long Beach, CA

Exposure to real-time data systems, embedded software, or ML/AI frameworks * Demonstrated success ... Intern projects will be tailored to company needs and student skillsets closer to the start date.

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered ...

Aperio Global

Systems Test Engineer Intern

Chantilly, VA · On-site

$17.25 - $22.25/hr

ABOUT THE ROLE We are looking for a driven Engineering Intern to join our Systems Test team for ... AI/ML tools applied to data analysis or automation Demonstrated leadership in team settings ...

HII's Mission Technologies division

$51K - $70K/yr

The AI/ML Engineering Intern will support the development, testing, and deployment of machine learning models and AI-driven solutions. Working under the guidance of senior engineers and data ...

SentinelOne

OR

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... A strong background in AI/ML and experience with independent projects using LLMs, foundation models ...

Mantari

Software Engineer Intern

Long Beach, CA · On-site

Exposure to real-time data systems, embedded software, or ML/AI frameworks * Demonstrated success ... Intern projects will be tailored to company needs and student skillsets closer to the start date.

Nextnav

AI/ML Internship

Santa Clara, CA

... intern to join a project centered around Artificial Intelligence and Machine Learning. The candidate will closely work with NextNav's AI/ML engineering team to develop solutions focused on improving ...

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How much do ml engineer intern jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for ml engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Ml Engineer Intern vs Data Scientist Intern?

AspectML Engineer InternData Scientist Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksSimilar educational background; strong statistical and analytical skills; familiarity with data analysis tools
Work EnvironmentFocus on developing and deploying machine learning models, coding in Python, TensorFlow, or PyTorchFocus on analyzing data, creating visualizations, and deriving insights from datasets
Employer & Industry UsageCommon in tech companies, AI startups, and research labsWidely used across tech, finance, healthcare, and consulting firms

Both roles are entry-level internships requiring a background in data-related fields. ML Engineer Interns focus on building and deploying machine learning models, while Data Scientist Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an ML Engineer Intern, and why are they important?

To thrive as an ML Engineer Intern, you need a solid foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by coursework or hands-on projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is expected. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in team environments. These skills are important because they enable interns to contribute meaningfully to real ML projects while rapidly acquiring new knowledge and adapting to evolving technologies.

What are ML Engineer Interns?

ML (Machine Learning) Engineer Interns are students or recent graduates who assist in designing, building, and deploying machine learning models under the guidance of experienced professionals. Their responsibilities often include data preprocessing, experimenting with algorithms, evaluating model performance, and collaborating with software engineers and data scientists. ML Engineer Interns gain hands-on experience with programming languages like Python, libraries such as TensorFlow or PyTorch, and tools for data analysis. This role is a valuable opportunity to learn how machine learning solutions are developed and applied in real-world scenarios.

What types of projects and responsibilities can an ML Engineer Intern expect to work on during their internship?

As an ML Engineer Intern, you can expect to work on a variety of projects ranging from data preprocessing and cleaning to building and testing machine learning models under the guidance of senior engineers. Interns often contribute to tasks such as feature engineering, model evaluation, and deploying models into production environments. You may also collaborate with data scientists and software engineers to integrate ML solutions into larger systems or products. This hands-on experience not only helps develop your technical skills but also provides insight into industry-standard workflows and team structures.
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Ml Engineer Intern jobs near you

Full-Stack Software Engineering Intern

Mariana Minerals

Ann Arbor, MI • On-site

Internship

Posted 23 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
We are hiring a Full Stack Software Engineer Intern to work on real, high-impact problems within our software and operations team. You will contribute directly to building internal tools and systems that support the engineering, construction, and operation of critical infrastructure.
This role is designed to provide hands-on experience shipping production-quality software. You will work closely with engineers and cross-functional stakeholders to build systems that solve real operational problems - not just prototypes or isolated features.
What You'll Do
  • Own a defined project with clear deliverables by the end of the internship
  • Build full-stack features across frontend (React or similar) and backend services
  • Develop and maintain APIs, services, and data integrations
  • Work with internal stakeholders to understand workflows and translate them into software
  • Contribute to internal tools that improve efficiency of engineering and operations teams
  • Integrate with third-party tools and systems (APIs, data pipelines, etc.)
  • Collaborate with ML engineers to support data pipelines or ML-powered features where relevant
  • Test, debug, and iterate on production systems
  • Present your work, impact, and learnings at the end of the internship

Qualification
  • Currently pursuing a degree in Computer Science, Software Engineering, or related field
  • Strong programming fundamentals (Python, JavaScript/TypeScript, or similar)
  • Familiarity with web development (frontend frameworks and backend basics)
  • Hands-on experience through projects, coursework, or internships
  • Ability to break down problems and build end-to-end solutions
  • Comfortable working in ambiguous environments and learning quickly
  • Clear communication skills and willingness to collaborate across teams

Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Our culture is built on three principles:
  • Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
  • Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
  • Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.

Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

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