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How much do undergraduate machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for undergraduate machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is an undergraduate machine learning position?

Undergraduate machine learning positions are entry-level roles, internships, or research opportunities designed for students pursuing a bachelor's degree who have an interest in machine learning. These positions typically involve assisting with data analysis, model development, and research projects under the supervision of experienced professionals or academics. They provide hands-on experience with machine learning algorithms, programming, and data processing, helping students build practical skills for future careers or graduate study in the field.

What skills and qualifications are needed to thrive as an undergraduate in machine learning?

To thrive as an undergraduate in machine learning, you need a strong grounding in mathematics (especially linear algebra, calculus, and statistics), programming skills (commonly in Python), and fundamental knowledge of algorithms and data structures. Familiarity with machine learning libraries like scikit-learn, TensorFlow, or PyTorch, as well as experience using data analysis tools such as Jupyter Notebooks, is highly valuable. Critical thinking, curiosity, and the ability to collaborate and communicate complex ideas effectively are standout soft skills in this field. These competencies are vital for successfully navigating coursework, conducting research, and solving real-world problems using machine learning methods.

How do undergraduate machine learning roles balance independent work with team collaboration?

In undergraduate machine learning roles, you can expect a mix of independent research or coding tasks and collaborative projects with peers or supervisors. While you may spend significant time developing models or analyzing datasets on your own, regular meetings, code reviews, and brainstorming sessions with team members are common. This collaboration not only helps you refine your technical skills but also exposes you to different problem-solving approaches and feedback. Working closely with others is also a great opportunity to build your professional network and gain insights into real-world applications of machine learning.

What is the difference between Undergraduate Machine Learning vs Data Scientist?

AspectUndergraduate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related fieldOften requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fields
Work EnvironmentAcademic projects, internships, entry-level roles in tech companiesData analysis, modeling, and insights generation in various industries
Industry UsageEducational programs, research, entry-level industry rolesBusiness, finance, healthcare, tech, and more

Undergraduate Machine Learning focuses on foundational knowledge and entry-level skills in machine learning algorithms and programming. Data Scientists build on this foundation, applying advanced analytics, statistical methods, and domain expertise to solve complex business problems. While both roles require a strong understanding of data and algorithms, Data Scientists typically have more experience and advanced education, working in diverse industries to generate insights and support decision-making.

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Undergraduate Machine Learning jobs near you
Infographic showing various Undergraduate Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Software Development - Machine Learning

Science and Technology Corporation (STC)

Aberdeen Proving Ground, MD • On-site

$68K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About Science and Technology Corporation (STC): STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development. Employment Category: Full Time / Exempt Location: Aberdeen Proving Ground, MD Travel: Minimal Security Clearance: DoD Secret Eligible, Active clearance preferred. Citizenship: Must be a U.S

Citizen Responsibilities: Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific research and development team developing and updating military sensors and detectors. Work with senior developers to create software applications in Python and apply machine learning techniques to improve the detection and identification of chemical and biological materials.

Develop, test, train, and maintain applications for developmental sensors and instrumentation. Develop and use tools to import, process, and store instrument and sensor datafiles for use in ML applications. Support field testing of systems, train users, and assess system performance.

Remain current on related subjects in the literature and news. Assist with the preparation of reports, journal articles, and presentations. Education: Bachelor's degree in computer science or a related discipline Compensation & Benefits: Pay: From $68K - $75K per year based on experience and qualifications Schedule: 40 hours per week 401K with up to 4% employer matching contribution 2 weeks (80 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term DisabilityU.S

Citizen eligible for a security clearance 3 years Python coding experience 1 year of coursework or experience applying ML Proficiency in another object-oriented programming language (C++ or JavaScript) Proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance 2 years of experience applying AI/ML Undergraduate coursework in chemistry or biologyU.S. Citizen eligible for a security clearance 3 years Python coding experience 1 year of coursework or experience applying ML Proficiency in another object-oriented programming language (C++ or JavaScript) Proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule

Bonus points if you have: Active DoD Security clearance 2 years of experience applying AI/ML Undergraduate coursework in chemistry or biology

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