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

Emerson

Application Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

... Intern to support customer-focused technical initiatives, product demonstrations, and Proofs of ... Machine Learning, or Data Analytics. Our Culture & Commitment to You: At Emerson, we foster a ...

Emerson

Application Engineering Intern

Austin, TX

$16.50 - $21.50/hr

... Intern to support customer-focused technical initiatives, product demonstrations, and Proofs of ... Machine Learning, or Data Analytics. Our Culture & Commitment to You: At Emerson, we foster a ...

Emerson Group

Application Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

... Intern to support customer-focused technical initiatives, product demonstrations, and Proofs of ... Machine Learning, or Data Analytics. Our Culture & Commitment to You: At Emerson, we foster a ...

Emerson

Application Engineering Intern

Austin, TX · On-site

$16.50 - $21.50/hr

... Intern to support customer-focused technical initiatives, product demonstrations, and Proofs of ... Machine Learning, or Data Analytics. Our Culture & Commitment to You: At Emerson, we foster a ...

ARM

Intern Program - Engineering Pathways

Austin, TX · Hybrid

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering -- from the hardware ... AI & Machine Learning -- Develop or optimize AI/ML solutions and apply technologies such as LLMs ...

ARM

Intern Program - Engineering Pathways

Austin, TX · On-site

$16.50 - $21.50/hr

Our intern program would suit candidates with interest across engineering - from the hardware ... AI & Machine Learning - Develop or optimize AI/ML solutions and apply technologies such as LLMs and ...

Riverbend Church

Intern

Austin, TX · On-site

$15 - $18/hr

The Intern role at Riverbend Church will be to support a department of interest such as ... Learning and Proficiency: Gaining experience in specific software, tools, processes relevant to ...

Xpedient Technologies, LLC

AI/ML Intern

Austin, TX · On-site

$14.75 - $19.75/hr

ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects * Supervised/unsupervised learning * Model evaluation and validation * Basic understanding ...

IBM

Product Manager Intern 2027

Austin, TX · On-site

As an intern, you will work closely with engineering, design, and data science partners to support ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

IBM

Product Manager Intern 2027

Austin, TX

As an intern, you will work closely with engineering, design, and data science partners to support ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

D. R. Horton

Summer 2027 Construction Intern

Austin, TX · On-site

$14.75 - $19.75/hr

- Summer 2027 Construction Intern (2604393) Summer 2027 Construction Intern - 2604393 Description D.R ... other learning opportunities based on departmental needs, location, and business priorities.

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Leander, TX

Machine Learning Intern information

See Leander, TX salary details

$24.4K

$40.7K

$84.1K

How much do machine learning intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning intern in Leander, TX is $40,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 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.

More about Machine Learning Intern jobs

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

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

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

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

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

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

Machine Learning Intern jobs near you

Data Science / Structured Problem Solving Intern - Summer 2027

Austin, TX • On-site

NXP Semiconductors N.V.
See more jobs at NXP Semiconductors N.V.external

Full-time

Posted 4 days ago

Job description

Job Summary:
  • Partner with Manufacturing Quality Engineering, Fab Operations, Business Lines and support organizations to deliver continuous improvement solutions in a high-volume semiconductor wafer manufacturing environment.
  • Work on engineering and analytical problem-solving projects under the direction of Quality and Operations Engineering to help optimize quality solutions through a 6 Sigma structured problem-solving approach.
  • Participate in fab-to-fab standardization activities and improvements as well as external manufacturing sites in the local area.
  • Participate in machine learning and AI projects related to quality improvements
  • Learn to develop logical and objective data analysis skills to establish and track metrics to meet department goals.
  • Intern will be the owner responsible for the research, analysis, and presentation to organization leadership of one high-business impact project during their internship.

Job Qualifications:
  • Working towards a Bachelor of Science or Advanced degree in an Engineering, Physics, Applied Mathematics or Computer Science discipline.
  • Familiarity with Integrated Circuit Manufacturing or Design is a plus.
  • Familiarity with Microsoft Office products (Power Point, Excel, Word, etc.)
  • Strong data analysis, teamwork, and communication skills.
  • Course work in advanced statistics and data science desired
  • Strong programming skills in R or Python are desired
  • Aptitude and desire to learn new skills.
  • Ability to thrive in a multi-cultural environment.

In order to be considered for a summer internship with NXP you must be returning to school or graduating at the conclusion of the internship term. If you are graduating prior to July 2027 please apply to Entry Level full-time roles.
More information about NXP in the United States...
NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.
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