Robotics Software Engineering Employment Type : Internship, Fall 2026 (August - December) or Spring ... Persona AI's founding team has a decades-long history in humanoid robotics, bionics, and product ...
Robotics Software Engineering Employment Type : Internship, Fall 2026 (August - December) or Spring ... Persona AI's founding team has a decades-long history in humanoid robotics, bionics, and product ...
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Intern Ai Programmer information
What is the difference between Intern Ai Programmer vs Intern Data Scientist?
| Aspect | Intern Ai Programmer | Intern Data Scientist |
|---|---|---|
| Required Credentials | Basic programming skills, coursework in AI/ML | Statistics, data analysis, programming skills |
| Work Environment | Tech companies, AI research labs | Data-driven companies, research institutions |
| Industry Usage | AI development, machine learning projects | Data analysis, predictive modeling |
Intern Ai Programmers focus on developing AI algorithms and models, often requiring programming and basic AI knowledge. Intern Data Scientists analyze data to extract insights, emphasizing statistical and analytical skills. Both roles are common in tech and research industries, but they differ in daily tasks and skill emphasis.
What does an intern AI programmer do?
What types of projects and responsibilities can an intern AI programmer expect during their internship?
What are the key skills and qualifications needed to thrive as an intern AI programmer?
Full-time
Posted 12 days ago
Job description
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.