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Algorithm Engineer Intern Jobs in Spring, TX (NOW HIRING)

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Algorithm Engineer Intern information

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$9

$17

$26

How much do algorithm engineer intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for algorithm engineer intern in Spring, TX is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an algorithm engineer intern?

Excelling as an Algorithm Engineer Intern requires strong problem-solving abilities, proficiency in programming languages such as Python or C++, and a solid understanding of data structures, algorithms, and mathematics, often supported by ongoing studies in computer science or a related field. Familiarity with version control systems like Git, as well as experience with machine learning frameworks or relevant academic coursework, is typically expected. Excellent communication skills, a collaborative mindset, and eagerness to learn set candidates apart in this team-oriented environment. These skills are crucial to successfully contribute to real-world projects, adapt quickly, and effectively solve technical challenges in dynamic work settings.

What types of projects or tasks can I expect as an algorithm engineer intern?

As an Algorithm Engineer Intern, you can expect to work on a mix of real-world projects, such as developing and optimizing algorithms, analyzing data sets, or assisting in research and prototyping. You may also help implement algorithmic solutions for existing products or services under the guidance of senior engineers and participate in code reviews and team meetings. Interns often collaborate closely with software engineers, data scientists, and other team members, gaining exposure to both technical and cross-functional work. These experiences provide valuable hands-on training and a springboard for future roles in software engineering or data science.

What does an algorithm engineer intern do?

An Algorithm Engineer Intern develops, optimizes, and implements algorithms to solve complex problems in fields like machine learning, data processing, or computer vision. They work closely with experienced engineers to analyze large datasets, improve existing models, and write efficient code. Responsibilities may include researching new algorithmic approaches, debugging issues, and testing performance. This role requires strong mathematical skills, programming proficiency (commonly in Python, C++, or Java), and familiarity with data structures and algorithms.

What are the most commonly searched types of Algorithm Engineer jobs in Spring, TX? The most popular types of Algorithm Engineer jobs in Spring, TX are:
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Algorithm Engineer Intern jobs near you
Infographic showing various Algorithm Engineer Intern job openings in Spring, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $35,751 per year, or $17.2 per hour.

Autonomy Software Engineering Internship, World Modeling

Persona AI

Houston, TX • On-site

Full-time

Posted 7 days ago

Job description

Job Title: Autonomy Software Engineering Intern, World Modeling
Department: Robotics Software Engineering
Employment Type: Internship, Fall 2026
FLSA: Exempt
Location: Houston, TX - Onsite
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona'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.
We're looking for an Autonomy Software Engineering Intern to help build the world modeling layer of our autonomy stack. You will work hands-on with NVIDIA Cosmos3, curating real-world industrial video data from our customer facilities and fine-tuning models to give our humanoid robots a grounded understanding of the environments they operate in.
This is a paid summer internship based in Houston, TX. You will report to the Behavior Coordination Lead and work directly with the autonomy team alongside our machine learning, perception, and simulation engineers.
Your Role
  • Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
  • Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
  • Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
  • Develop synthetic data generation pipelines for post-training of humanoid world models
  • Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
  • Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
  • Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.
We're Looking For
  • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; recent graduates are also welcome.
  • Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
  • Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
  • Working familiarity with at least one vision-language model, large language model, or video understanding model.
  • Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
  • Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
  • Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.
Preferred or Bonus Qualifications
  • Direct experience with NVIDIA Cosmos or comparable world foundation models.
  • Exposure to NVIDIA Isaac Sim, Omniverse, or OpenUSD for synthetic data generation and scene variability.
  • Familiarity with humanoid or mobile-manipulator robotics, ROS/ROS 2, and the broader autonomy stack.
  • Experience with motion capture data, egocentric video capture, or first-person dataset construction.
  • Exposure to behavior trees, task and motion planning, or LLM-driven planning architectures.
  • Familiarity with NVIDIA Isaac Lab, NIM microservices, or the Hugging Face training ecosystem.
  • Prior internship, research, or open-source work on physical AI, embodied reasoning, or robot learning.
Why join Persona AI?
  • You'll work on technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value diversity, creativity, and continuous learning.
  • Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.
  • We offer competitive intern compensation, a flexible work environment, and meaningful technical mentorship.

Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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