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Ml Engineer Intern information

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?

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 is an ML Engineer Intern?

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 does an ML Engineer Intern do?

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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Infographic showing various Ml Engineer Intern job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Mission Operation Intern Fall 2026

Rocket Lab Corporation

Littleton, CO • On-site

$25/hr

Other

This job post has expired today. Applications are no longer accepted.

Rocket Lab rating

9.2

Company rating: 9.2 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

4th of 72 rated aerospace companies

Job description

As a Mission Operations Intern based at Rocket Lab's site in Littleton, Colorado, you will accelerate automation and DevOps capabilities that power Rocket Lab's growing spacecraft fleet. You'll work hands-on with modern tools like Python, Linux, CI/CD, and HIL/SIL testing while supporting missions from LEO constellations to deep space exploration. Partnering closely with crossfunctional engineering teams, you'll help enhance both ground and onorbit systems in a fastpaced, vertically integrated environment. The Mission Operation intern will have the chance to contribute directly to mission success and spacecraft performance across all phases of flight. 

WHAT YOU'LL GET TO DO 

  • As an intern, you will work closely with your mentor and other employees within the department to apply your knowledge and grow your skills both technically and professionally 

  • Work with a fast-paced group of professionals to apply engineering and industry concepts to solve real challenges 

  • Attend frequent 1:1's with mentors and supervisors to facilitate success and learning while providing progress updates 

  • Enjoy tech talks and network with other interns and employees through social and professional events 

YOU'LL BRING THESE QUALIFICATIONS 

Ideal candidates will thrive in ambiguity and are excited to work in small, high-performing teams that are focused on continued learning and growth. Success in this position will be measured by the knowledge and experience you bring to the role, your ability to lead development projects without supervision, and your ability to successfully collaborate across teams to deliver results. 

  • Must be enrolled in a bachelor's, master's or doctorate degree program in Aerospace Engineering, Aeronautical Engineering, Mechanical Engineering, or Software Engineering, or related field and have at least one semester of school remaining post internship 

  • GPA of 3.0 or above 

  • 3+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) 

  • Proficiency in Python, Linux, and Git 

  • Able to work full time, on-site for a minimum of 12 consecutive weeks beginning August or September 2026

THESE QUALIFICATIONS WOULD BE NICE TO HAVE 

  • GPA of 3.5 or above 

  • 6+ months of applied engineering experience (internship, laboratory, and personal/team project experience is applicable) 

  • General understanding of spacecraft systems, operations, or mission workflows 

  • Experience in AI/ML applications in software development or operations 

  • Familiarity with testing frameworks that integrate software and hardware systems 

 

COMPENSATION AND OTHER BENEFITS 

  • Pay Range CA: $25.00 USD Hourly 

  • You may be eligible for a stipend to subsidize relocation costs 

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust and fumes in production areas

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