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Undergraduate Machine Learning Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

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 ...

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 Group

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 ...

Vangard, Inc.

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 ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the ... Undergraduate degree (computer science, data science, finance, economics, accounting, or related ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the ... Undergraduate degree (computer science, data science, finance, economics, accounting, or related ...

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Undergraduate Machine Learning information

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How much do undergraduate machine learning jobs pay per hour?

As of Jul 24, 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.

Which 3 jobs will survive AI?

For undergraduate machine learning students, roles such as data scientists, AI researchers, and machine learning engineers are expected to persist due to their reliance on complex problem-solving, domain expertise, and creativity. These jobs require advanced understanding of algorithms, programming skills, and critical thinking that are less easily automated. Continuous learning and specialization in tools like Python, TensorFlow, or cloud platforms will enhance job security in these fields.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or executive role, often offering compensation including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and sometimes advanced degrees. Such positions are rare and generally found in leading tech companies or AI-focused organizations.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in developing and deploying AI models in a professional environment.

What engineer makes $500,000 a year?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong industry demand can earn $500,000 or more annually, especially in high-paying sectors like technology and finance. Achieving this level typically requires advanced degrees, certifications, and a track record of impactful projects.

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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Machine Learning Researcher

Machine Learning Researcher

Jane Street

New York, NY • On-site

Full-time

Posted 11 days ago

Job description

About the Position
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges-large models and nonstationary datasets in a competitive multi-agent environment-that force us to search for novel techniques.
You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes.
Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:
  • An undergraduate, PhD student, or postdoc with practical experience working on ML problems
  • Interested in applying logical and mathematical thinking to all kinds of problems
  • Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn from many problem domains
  • Fluent with a versatile set of models and tricks
  • Able to rapidly implement and iterate on your ideas in Python and your favorite ML framework
  • Eager to ask questions, admit mistakes, and learn new things

If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.

Apply