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Internship Graduate Machine Learning Jobs in Houston, TX

ConocoPhillips

Intern, Commercial 2027

Houston, TX · On-site

Junior, Senior, or Graduate Student * Expected graduation date: Fall 2027 through Spring 2029 * A minimum of ten (10) continuous weeks availability for internship Preferred: * A minimum cumulative ...

Chevron

2026-2027 Earth Science Intern

Houston, TX

$10K/mo

Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ... Practical experience with geoscience coding, data science, and/or machine learning. Why Intern at ...

Capgemini

Data Scientist

Houston, TX · On-site

Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles. * Demonstrable background in the Energy & Utilities sector. * Foundational ...

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All JobsGraduate Machine Learning JobsInternship Graduate Machine Learning JobsInternship Graduate Machine Learning Jobs in Houston, TX

Internship Graduate Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do internship graduate machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for internship graduate machine learning 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 is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

Internship Graduate Machine Learning jobs near you
Infographic showing various Internship Graduate Machine Learning job openings in Houston, 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

Robotics Software Internship, Manipulation

Houston, TX • On-site

Persona AI
See more jobs at Persona AIexternal

Full-time

Posted 17 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.

Apply