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Undergraduate Machine Learning Jobs (NOW HIRING)

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. * Experience in software engineering, machine learning engineering, data engineering, or a ...

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Undergraduate Machine Learning information

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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.

More about Undergraduate Machine Learning jobs

What are the most commonly searched types of Undergraduate Machine Learning jobs?

The most popular types of Undergraduate Machine Learning jobs are:

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.

2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

Full-time, Internship

Posted 16 days ago


Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers


Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.



As an AMD Co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Details:

  • Locations: San Jose, CA or Santa Clara, CA
  • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term

Duration:

  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship: 
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027 
    • Quarter Students: June 21, 2027 - December 10, 2027 

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
  • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements

 

WHO WE ARE LOOKING FOR:

  • You are currently enrolled in a US based University in a Undergraduate's degree program majoring in computer science, computer engineering, data science / analytics, or a related field
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
    • Familiarity with cloud (e.g., AWS, GCP, Azure)

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

This role is not eligible for visa sponsorship.



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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