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Ml Intern Jobs (NOW HIRING)

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site

$25 - $45/hr

Intern - Machine Learning Engineering About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of ...

Adaptive ML

Member of Technical Staff (intern)

New York, NY · On-site

$18.25 - $23.75/hr

About the team Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations ... As a Technical Intern, you will contribute to building parts of the foundational technology that ...

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How much do ml intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for ml intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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

To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.

What kinds of projects do ML Interns typically work on, and how can they make the most impact during their internship?

ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.

What are ML Interns?

ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.
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Ml Intern jobs near you
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA

Internship

Posted 22 days ago

Job description

LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI’s mission to provide innovative solutions for government clients. 

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.  

*This position is currently full-time onsite at the customers Washington DC office.  

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Participate in research and development efforts focused on emerging AI and data science methodologies. 
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. 
  • Develop and implement AI/ML algorithms to solve real-world problems. 
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure. 
  • Create data visualizations and dashboards to present analytical insights effectively. 
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.  

  • Current enrollment in a degree seeking program required 
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). 
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms. 
  • Strong analytical and problem-solving skills with the ability to work on complex datasets. 
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus. 
  • Strong communication and teamwork skills. 
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. 

DESIRED QUALIFICATIONS/SKILLS 

  • Experience working with Microsoft Excel and Access. 
  • Experience with Visual Basic for Applications and Java is highly desirable. 
  • Programming experience—ability to program and learn new programming languages quickly. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.


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