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Machine Learning Intern Jobs in Frisco, TX (NOW HIRING)

Customer Solutions Intern

Plano, TX · On-site

$14.50 - $19.25/hr

... Machine Learning, Systems Engineering, Network Engineering, Cloud Computing, or a related technical field. • Strong interest in telecommunications, wireless networks, cloud technologies, AI ...

Customer Support Intern

Plano, TX · On-site

$14.25 - $18.50/hr

Explore practical applications of AI, machine learning, and intelligent automation in customer ... The intern will have the opportunity to: * Gain practical experience supporting a major ...

Customer Support Intern

Plano, TX · On-site

$14.50 - $18.50/hr

Explore practical applications of AI, machine learning, and intelligent automation in customer ... The intern will have the opportunity to: * Gain practical experience supporting a major ...

Customer Support Intern

Plano, TX · On-site

$14.25 - $18.50/hr

Explore practical applications of AI, machine learning, and intelligent automation in customer ... The intern will have the opportunity to: Gain practical experience supporting a major ...

Position Overview We are seeking a motivated DevOps Intern to support the deployment, automation ... AI / MLOps Support * Assist with deployment and monitoring of machine learning and AI applications.

... Machine Learning, Distributed Systems, Networking, Cybersecurity, or related field and 5 years of progressive experience as Full Stack Developer, Software Engineer, Software Engineering Intern, or ...

Showing results 41-60

Machine Learning Intern information

See Frisco, TX salary details

$23.9K

$39.9K

$82.4K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Frisco, TX is $39,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What are the most commonly searched types of Machine Learning jobs in Frisco, TX?

The most popular types of Machine Learning jobs in Frisco, TX are:

What are popular job titles related to Machine Learning Intern jobs in Frisco, TX?

For Machine Learning Intern jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Frisco, TX look for?

The top searched job categories for Machine Learning Intern jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Machine Learning Intern jobs?

Cities near Frisco, TX with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,926 per year, or $19.2 per hour.

Customer Solutions Intern

Plano, TX • On-site

Ericsson
IT Services • 10K+ employees

$14.50 - $19.25/hr

Other

Posted 19 days ago


Ericsson rating

9.2

Company rating: 9.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

2nd of 101 rated telecommunications companies


Job description

Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position.
Customer Solutions Intern
Location: Plano, TX
Duration: 12 weeks
Start Date: May 25, 2027
About the Opportunity:
Ericsson is seeking a Customer Solutions Intern to join the CTO organization supporting CU Hyperscalers and Regional Carriers. This is an exciting opportunity for a Bachelor, Master's or PhD student who wants to work at the intersection of next-generation mobile networks, AI and Physical AI, cloud technologies, automation, and business strategy. You'll develop hands-on experience supporting technology leaders, exploring emerging innovations, and helping shape the future of connectivity and digital transformation.
Our purpose is to create connections that make the unimaginable possible. Every day, we use creativity, expertise, and technology to solve some of the world's greatest challenges and elevate opportunities that once seemed impossible.
What You Will Do:
• Support enablement of emerging technologies, including 5G/6G, AI, cloud-native platforms, automation, and network[SS1.1] evolution.
• Assist with technology strategy initiatives, customer-focused innovation projects, and practical insights that inform roadmap discussions.
• Help evaluate industry trends and prepare clear summaries, recommendations, and presentations for technical and business stakeholders.
• Collaborate with CTO team members on network transformation, innovation, automation, standardization, regulatory perspectives and technology planning activities.
• Use AI-enabled tools to analyze information, identify trends, summarize findings, and improve productivity across technical projects.
• Gain exposure to customer engagement, technology leadership, and how strategic technology decisions shape business outcomes.
What You Will Bring:
• Currently enrolled as a Bachelors, Master's, or PhD student in Computer Science, Electrical Engineering, Telecommunications, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning, Systems Engineering, Network Engineering, Cloud Computing, or a related technical field.
• Strong interest in telecommunications, wireless networks, cloud technologies, AI, automation, and emerging technology trends.
• Analytical mindset with the ability to research complex topics and translate technical concepts into clear, practical insights.
• Strong communication skills, with the ability to collaborate across technical and business teams.
• Experience with data analysis, scripting, programming, AI tools, network technologies, or technology research is a plus.
• Foundational understanding of IP networking concepts, including IPv4/IPv6, TCP/IP, Ethernet, subnetting, VLANs, and basic network troubleshooting. Familiarity with switching and routing principles, network architectures, and routing protocols is a plus. Exposure to optical and transport networking, fiber-optic communications, DWDM, OTN, or optical network design and operations is a plus.
• Cisco CCNA, Juniper JNCIA, or equivalent networking certification is appreciated but not required; relevant coursework or hands-on experience is also valued.
• Curiosity, initiative, and a passion for solving challenging problems that help shape the future of connectivity and digital innovation.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: United States (US) || Plano (Country/ City)
Job details: Technical & Solution Sales Support
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.


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