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Freelance Machine Learning Intern Jobs in Houston, TX

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 ...

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 ...

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 ...

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Freelance Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do freelance machine learning intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for freelance 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 are the most commonly searched types of Machine Learning Intern jobs in Houston, TX? The most popular types of Machine Learning Intern jobs in Houston, TX are:

Machine Learning Intern, Manipulation

Persona AI

Houston, TX • On-site

Full-time

Posted 10 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.