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

Kidsave

Intern

Houston, TX · On-site

$14.25 - $19/hr

Learning Activities & Educational Experiences * Attend advocacy events (during the week or on ... Intern activities are structured to provide a meaningful educational experience aligned with ...

ONEOK

Terminal Operator Intern - Houston, TX Area

Houston, TX · On-site

$14.25 - $19/hr

Join a company where learning happens through experience, relationships, and meaningful work. At ... The intern follows established processes, assists experienced operators, and gradually develops ...

Pinnacle

Engineering Intern

Pasadena, TX · On-site

$15.25 - $19.75/hr

Onsite gym with full amenities, walking workstations, free parking, mini mart/snack machines ... Strong aptitude for learning new processes and techniques * Willingness to relocate to Pasadena, TX ...

PINNACLE

Engineering Intern

Pasadena, TX · On-site

$15.25 - $19.75/hr

Onsite gym with full amenities, walking workstations, free parking, mini mart/snack machines ... Strong aptitude for learning new processes and techniques * Willingness to relocate to Pasadena, TX ...

Turner Construction

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 ...

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

Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do machine learning intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning intern in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 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 Houston, TX?

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

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

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

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

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Robotics Software Internship, Manipulation

Persona AI

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Job Title: Robotics Software Internship, Manipulation
Department: Software Engineering
Reports To: Manipulation Lead
Employment Type: Internship
Location: Houston, Texas - Required (on-site)
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Your Role:
  • Help design and implement dexterous manipulation algorithms for humanoid robots with high-DOF, multi-fingered hands, working closely with senior engineers.
  • Contribute to the manipulation pipeline (perception, grasping, trajectory optimization, motion planning, and control) on tasks like precise grasping, dual-arm manipulation, and in-hand object manipulation.
  • Support the implementation and testing of control strategies for dexterous manipulation, including force/motion control and visual/tactile servoing.
  • Assist with integrating manipulation components into the humanoid robot's whole-body controller and loco-manipulation efforts.
  • Build and iterate on digital-twin simulation environments for algorithm development using simulators such as MuJoCo and Isaac Sim.
  • Run and help design tests in both simulated and real-world environments, and help analyze the results.
  • Partner with the machine learning team to help train and deploy models for advanced manipulation tasks.
  • Stay current on manipulation research and bring relevant ideas, traditional and deep learning-based, back to the team.

We're Looking For:
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field.
  • Coursework, lab research, or project experience (capstone projects, robotics competitions, personal projects) involving control and manipulation of robotic or humanoid arms.
  • Foundational knowledge of motion planning, control theory, and optimization.
  • Programming proficiency in C++ and/or Python.
  • Exposure to relevant robotics libraries or tools (e.g., ROS, MoveIt!, Drake, OpenRAVE) through coursework or projects.
  • Familiarity with deep learning fundamentals as applied to robotics or manipulation.
  • Some exposure to computer vision concepts, such as sensors, point clouds, segmentation, and object detection, through coursework or projects.
  • A strong desire to learn quickly and contribute in a fast-paced startup environment.

Preferred or Bonus Qualifications:
  • Project or research experience with contact modeling, force/torque estimation, or tactile sensing for dexterous tasks.
  • Exposure to machine learning for dexterous manipulation, such as learning-based grasp strategies, behavior cloning, or reinforcement learning.
  • Published research related to manipulation.
  • Prior internship or hands-on experience in a robotics, autonomy, or hardware startup environment.

Our Internship Program
At Persona AI, our internship program gives you direct, hands-on experience building cutting-edge humanoid robotics alongside industry experts. We offer full-time term opportunities across three upcoming cohorts:
  • Fall 2026: August - December
  • Spring 2027: January - May
  • Summer 2027: May - August

As an intern, you'll be paired 1:1 with a senior engineer mentor to accelerate your growth and guide your technical contributions. You will bond with your cohort through intern group lunches, gain cross-functional perspective during company-wide learning lunches, and unwind with fun team activities throughout the term. Whether you're working on advanced motion planning or real-world system testing, you'll tackle meaningful engineering challenges while immersing yourself in our collaborative startup culture.
Application Review Process
We evaluate applications as they are received rather than waiting for the posted deadline to pass. Positions for each cohort are filled on a first-come, first-served basis, and the portal will close as soon as all available roles are finalized.
To give yourself the best chance of securing a spot, keep these tips in mind:
  • Apply Early: Submitting your resume as soon as possible ensures your materials are reviewed before interview slots fill up.
  • Cohort Availability: Popular terms-especially Summer 2027-tend to reach capacity quickly.
  • Rolling Interviews: Interviews and candidate evaluations begin immediately upon application receipt.

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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