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Internship Machine Learning Robotics Jobs in Garland, TX

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Develop and implement machine learning and deep learning models. * Perform data preprocessing ... internships, academic projects, research, GitHub repositories, or professional experience ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Artificial Intelligence * Machine Learning * Data Science * Computer Engineering * Software ... AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI ...

Smash CR

Director of AI/ML (P-161)

Flower Mound, TX · On-site

Drive implementation of machine learning, generative AI, and multi-agent orchestration solutions ... Experience with Microsoft Power Automate and robotic process automation (RPA). * Experience with ...

Smash CR

Director of AI/ML (P-161)

Flower Mound, TX · On-site

Drive implementation of machine learning, generative AI, and multi-agent orchestration solutions ... Experience with Microsoft Power Automate and robotic process automation (RPA). * Experience with ...

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All JobsMachine Learning Robotics JobsInternship Machine Learning Robotics JobsInternship Machine Learning Robotics Jobs in Garland, TX

Internship Machine Learning Robotics information

See Garland, TX salary details

$24.6K

$41.1K

$85K

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

As of Aug 23, 2026, the average yearly pay for internship machine learning robotics in Garland, TX is $41,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Robotics vs Internship Data Science?

AspectInternship Machine Learning RoboticsInternship Data Science
Required SkillsProgramming (Python, C++), Robotics, Machine LearningStatistics, Programming (Python, R), Data Analysis
Work EnvironmentRobotics labs, manufacturing, research facilitiesData centers, corporate offices, research institutions
Industry UsageRobotics companies, automation, AI hardwareFinance, healthcare, marketing, tech firms

Internship Machine Learning Robotics focuses on developing AI algorithms for robotic systems, combining hardware and software skills. In contrast, Internship Data Science emphasizes analyzing data to extract insights, often in business or research settings. Both internships require programming skills, but their applications and environments differ significantly.

How to become an internship machine learning robotics?

To become an intern in machine learning robotics, candidates typically need a background in computer science, robotics, or related fields, along with programming skills in languages like Python or C++. Gaining experience with machine learning frameworks such as TensorFlow or PyTorch and understanding robotics platforms like ROS can be beneficial. Applying to internships through university programs, online job portals, or company websites and demonstrating relevant coursework, projects, or certifications can improve chances of selection.
Internship Machine Learning Robotics jobs near you

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 11 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

Apply