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

ConocoPhillips

Intern, Commercial 2027

Houston, TX · On-site

The Commercial Intern program is crafted to educate interns about ConocoPhillips, the energy business, and how the Commercial organization contributes to the company's value proposition. During your ...

Chevron

2026-2027 Earth Science Intern

Houston, TX · On-site +1

$10K/mo

Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at Chevron? * You work on real projects, not side tasks * You use modern tools and cloud platforms * You ...

Schlumberger

Scientific Computing Intern

Houston, TX · On-site

$14.25 - $19/hr

The Student Intern is responsible for gaining exposure to career opportunities within the oil and ... PHD in Computer Science, Mathematics, or Machine Learning ALL APPLICANTS FOR U.S. ROLES MUST ...

Schlumberger

Scientific Computing Intern

Houston, TX · On-site

$14.25 - $19/hr

The Student Intern is responsible for gaining exposure to career opportunities within the oil and ... PHD in Computer Science, Mathematics, or Machine Learning ALL APPLICANTS FOR U.S. ROLES MUST ...

Schlumberger

Scientific Computing Intern

Houston, TX

$14.25 - $19/hr

The Student Intern is responsible for gaining exposure to career opportunities within the oil and ... PHD in Computer Science, Mathematics, or Machine Learning ALL APPLICANTS FOR U.S. ROLES MUST ...

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

Machine Learning Intern information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do machine learning intern jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning intern in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Spring, TX? The most popular types of Machine Learning jobs in Spring, TX are:
What are popular job titles related to Machine Learning Intern jobs in Spring, TX? For Machine Learning Intern jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Spring, TX look for? The top searched job categories for Machine Learning Intern jobs in Spring, TX are:
What cities near Spring, TX are hiring for Machine Learning Intern jobs? Cities near Spring, TX with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Spring, TX as of July 2026, with employment types broken down into 15% Internship, 1% As Needed, 54% Full Time, 27% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.

Machine Learning Intern, Manipulation

Persona AI

Houston, TX • On-site

Full-time

Posted 5 days ago

Job description

Job Title: Machine Learning Internship, Manipulation
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026 (August - December) or Spring 2027 (January - May)
FLSA: Exempt
Location: Houston, TX - Onsite
Who We Are
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona AI's founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
About the Role
We're looking for a Machine Learning Intern (Manipulation) to help build Persona's machine learning models and infrastructure. We are primarily interested in candidates with experience and relevant projects in robot learning, but can be flexible depending on aptitude and energy.
As a Machine Learning Intern at Persona, you will have an incredible opportunity to work with humanoid robots and solve practical problems in the real world.
What You'll Do
  • Work with the ML team to develop and improve machine learning models and the infrastructure.
  • Monitor and evaluate the performance of models in the real world.
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.

What We're Looking For
  • Courage and grit to tackle some of the hardest problems in embodied AI.
  • Enthusiasm for working collaboratively in a high paced team environment.
  • Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
  • Experience with cloud computing to develop models, manage data, etc. (AWS, Azure, GCP)
  • Strong understanding of the state of the art research in robot learning (behavior cloning and reinforcement learning for manipulation, world models, etc.).
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high-quality software.
  • Thrive in fast-paced and ambiguous environments.
  • Strong first principles thinker.

Preferred or Bonus Qualifications
  • An advanced degree (Master's or PhD) in computer science, robotics, machine learning, or another related field.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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