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Undergraduate Machine Learning Jobs (NOW HIRING)

Signifyd

Senior Machine Learning Engineer I // II

$107K - $146K/yr

... undergrad work experience in a production-grade ML environment. • Strong foundation in machine ... learning theory, statistical evaluation, and experience with supervised/unsupervised learning at ...

Signifyd

Senior Machine Learning Engineer I // II

$107K - $146K/yr

... undergrad work experience in a production-grade ML environment. • Strong foundation in machine ... learning theory, statistical evaluation, and experience with supervised/unsupervised learning at ...

Signifyd

Senior Machine Learning Engineer I // II

$107K - $146K/yr

... undergrad work experience in a production-grade ML environment. • Strong foundation in machine ... learning theory, statistical evaluation, and experience with supervised/unsupervised learning at ...

Signifyd

Senior Machine Learning Engineer I // II

$107K - $146K/yr

... undergrad work experience in a production-grade ML environment. • Strong foundation in machine ... learning theory, statistical evaluation, and experience with supervised/unsupervised learning at ...

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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.
Postdoctoral Fellowships in Networking Support for Machine Learning

Postdoctoral Fellowships in Networking Support for Machine Learning

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Posted 6 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

67th of 560 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellowships in Networking Support for Machine Learning
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Computer Science
Position Description
The John A. Paulson School of Engineering and Applied Sciences at Harvard University (SEAS) seeks applicants for a postdoctoral position in networking support for machine learning systems. The initial term for this position is one year; reappointment for a second year is contingent upon funding.
The postdoc will work with closely with Minlan Yu and other group members focused on networking support for machine learning systems, as well as possibly other Harvard faculty.
The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, and take on a mentorship role for undergraduate and graduate students.
Basic Qualifications
Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.
Additional Qualifications
Special Instructions
Contact Information
Gioia Sweetland
Contact Email
gioia@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
3
Maximum Number of References Allowed
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