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

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: * Education: Current Master's or Ph.D. candidate in CS, Robotics, or ...

Intern - Houston

Houston, TX · On-site

$14.25 - $19/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern

Houston, TX · On-site

$240/wk

The intern will gain hands-on experience working within a nonprofit arts-in-education organization while contributing to projects that increase access to meaningful arts experiences for children and ...

Showing results 41-60

Machine Learning Intern information

See Richmond, TX salary details

$20.8K

$34.7K

$71.7K

How much do machine learning intern jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning intern in Richmond, TX is $34,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,500.00 and $37,500.00 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 Richmond, TX?

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

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Richmond, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $34,682 per year, or $16.7 per hour.

2026-2027 Earth Science Intern

Chevron Corporation

Houston, TX • On-site

$70 - $80/hr

Other

Medical, Retirement

Posted 5 days ago


Chevron rating

6.0

Company rating: 6.0 out of 10

Based on 222 frontline employees who took The Breakroom Quiz

70th of 87 rated oil and gas companies


Job description

2026‑2027 Earth Science Intern – Houston, TX (and other U.S. locations)

Chevron is hiring Earth Science Interns across the U.S. Interns will work in multi‑disciplinary teams that include geologists, geophysicists, engineers, data scientists, and software developers. They will contribute to exploration, development, reservoir characterisation, and well operations projects while gaining guidance from a supervisor and a technical mentor.

Locations
  • Houston, TX
  • Other U.S. locations (to be confirmed)
Responsibilities
  • Assist with technical assignments in geoscience, geophysics, and petrophysics.
  • Support exploration, development, reservoir characterisation, and well operations.
  • Collaborate with geologists, geophysicists, engineers, data scientists, and software developers on cross‑functional projects.
  • Prepared technical reports and presentations under mentorship.
  • Participate in field and lab visits as required.
Requirements
  • Students currently enrolled in a Master’s or Doctorate Thesis program or with less than 2 years post‑graduate degree experience in geology, geophysics, geological engineering, or related fields.
  • Strong academic performance in core programmes, communication, leadership, teamwork, and problem‑solving skills.
  • Professional/academic focus in a technical area aligned with Chevron’s business needs.
  • Ability to drive on a routine basis.
  • Demonstrated commitment to The Chevron Way.
Preferred Qualifications
  • Prior experience with industry workflows for subsurface characterisation.
  • Participation in an energy industry or sponsored university research project.
  • Practical experience with geoscience coding, data science, and/or machine learning.
Compensation and Benefits
  • Hourly pay ranging from $35.20 to $10,200 monthly (adjusted for degree level and academic year).
  • Furnished housing provided.
  • Participation in Employee Savings Investment Plan with immediate vesting of both employee and company contributions.
  • Company match: 4% for a 1% employee contribution; 8% for a 2% employee contribution.
  • Flexible work schedules (5/40, 9/80, or 4/10) as appropriate.
  • Paid holidays according to work schedule.
  • Full year of service credit for each internship completion (must be re‑employed within 365 days).
  • If later converted to a full‑time new graduate position, competitive pay and benefits to eligible employees, including healthcare, time off, retirement plans, and development opportunities.
Relocation and Work Options
  • Relocation may be considered.
  • Coincidentally, Chevron will not sponsor employment visas or consider individuals on time‑limited visa status for this position unless the candidate possesses a Ph.D. or is currently enrolled in a Ph.D. program.
How to Apply
  • Submit your resume and unofficial transcript(s) online.
  • Application will be screened in accordance with U.S. export control laws; applicants subject to comprehensive U.S. trade sanctions are ineligible.
  • All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision‑making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
  • We are committed to providing reasonable accommodations for qualified individuals with disabilities. Contact emplymnt@chevron.com for assistance or accommodations.
  • Chevron participates in E‑Verify in certain locations as required by law.
Equal Employment Opportunity

Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision‑making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com. Chevron participates in E‑Verify in certain locations as required by law.

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About Chevron

Sourced by ZipRecruiter

Chevron is one of the world's leading integrated energy companies. We believe affordable, reliable and ever-cleaner energy is essential to achieving a more prosperous and sustainable world. Chevron produces crude oil and natural gas; manufactures transportation fuels, lubricants, petrochemicals and additives; and develops technologies that enhance our business and the industry. We are focused on lowering the carbon intensity in our operations and seeking to grow lower carbon businesses along with our traditional business lines. More information about Chevron is available at www.chevron.com.

Industry

Oil and coal products manufacturing, civic and social organizations and oil and gas extraction

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

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