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Startup Machine Learning Intern Jobs in Houston, TX

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 ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Houston, TX

Startup Machine Learning Intern information

See Houston, TX salary details

$24.4K

$40.7K

$84K

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

As of Aug 7, 2026, the average yearly pay for startup 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 typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

What is the difference between Startup Machine Learning Intern vs Startup Data Scientist?

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are popular job titles related to Startup Machine Learning Intern jobs in Houston, TX? For Startup Machine Learning Intern jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Startup Machine Learning Intern jobs in Houston, TX look for? The top searched job categories for Startup Machine Learning Intern jobs in Houston, TX are:
What cities near Houston, TX are hiring for Startup Machine Learning Intern jobs? Cities near Houston, TX with the most Startup Machine Learning Intern job openings:
Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% 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.

Machine Learning Intern, Manipulation

Persona AI

Houston, TX • On-site

Full-time

Posted 7 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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