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Undergraduate Machine Learning Jobs (NOW HIRING)

Photon

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 ...

Photon

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 ...

Vanguard

Manager, Machine Learning Engineer

Dallas, TX

$101K - $133K/yr

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and ... Undergraduate degree or equivalent combination of training and experience. Graduate degree ...

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How much do undergraduate machine learning jobs pay per hour?

As of Jun 9, 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 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.

What are the key skills and qualifications needed to thrive as an Undergraduate in Machine Learning, and why are they important?

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.

What are undergraduate machine learning positions?

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.

How do undergraduate machine learning roles typically 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.
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:
What job categories do people searching Undergraduate Machine Learning jobs look for? The top searched job categories for Undergraduate Machine Learning jobs are:
Undergraduate Machine Learning jobs near you
Infographic showing various Undergraduate Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Director, Machine Learning, Virtual Cell Initiative

Arc Institute

Palo Alto, CA • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. The Director of Machine Learning will lead a team in developing advanced machine learning models for the Virtual Cell Initiative, focusing on single-cell genomic data to revolutionize drug discovery.
Responsibilities:
• Lead/build a team of 6 ML research scientists and engineers augmented with undergrad/masters/PhD students to contribute to the development of a state-of-the-art foundation model and agentic framework for understanding how cells respond to perturbations.
• Work in an active learning loop with Arc’s wet lab scientists to shape the world's largest and most diverse set of single cell training data across many cell contexts.
• Collaborate closely with other research groups to integrate genomics, functional track,and omics data more broadly beyond scRNA-seq data and Perturb-seq
• Stay up to date on the latest in frontier ML research and pioneer new architectures and approaches.
• The ultimate goal is to build a high utility virtual cell model for use by biologists worldwide. We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
• Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.
• Attract the very best talent in the world to support VCI initiative goals
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field.
• Minimum of 5 years of experience working in/with machine learning, well versed in frameworks such as Pytorch, TensorFlow, JAX, etc.
• Proven experience leading research teams in a fast paced, multi-disciplinary environment.
• Experience with or strong interest in biology with ability to communicate and collaborate successfully with biologists and pure ML engineers.
• Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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