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Internship Mechanical Engineering Machine Learning Jobs in Texas

Tech Consulting

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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

... machine learning models and AI-powered applications. You will work closely with senior developers ... Internship, academic project, or personal project in AI/ML. * Knowledge of deep learning and neural ...

New

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... and feature engineering using Python Ability to work with multiple data sources and types ... machine learning On call support Qualifications and Education Requirements Master's degree in a ...

Huntsman

Mechanical Engineering Intern

Houston, TX

$18 - $24/hr

Our Summer Internship Program is designed for ambitious students who want hands-on experience in ... Huntsman Corporation (HUN) What You'll Do As a Mechanical Engineering Intern, you may: * Support ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Garver

Buildings Mechanical Engineering Intern

Dallas, TX · On-site

$18.50 - $25/hr

Internship Description * Work alongside and be mentored by experienced building design ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Garver

Buildings Mechanical Engineering Intern

Dallas, TX · On-site

$18.50 - $25/hr

Internship Description * Work alongside and be mentored by experienced building design ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

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Internship Mechanical Engineering Machine Learning information

What is the difference between Internship Mechanical Engineering Machine Learning vs Mechanical Engineer?

AspectInternship Mechanical Engineering Machine LearningMechanical Engineer
Required CredentialsTypically pursuing or recently completed a degree in Mechanical Engineering or related field; familiarity with machine learning toolsBachelor's degree in Mechanical Engineering; professional licensure often not required for entry-level roles
Work EnvironmentInternship setting, often in research labs or tech companies, focusing on project-based learningDesign, analysis, and manufacturing environments, including offices, factories, and labs
Employer & Industry UsageUsed by tech companies, research institutions, and engineering firms exploring AI applications in mechanical systemsWidely employed across manufacturing, automotive, aerospace, and energy sectors

In summary, an Internship Mechanical Engineering Machine Learning focuses on gaining experience at the intersection of mechanical engineering and machine learning, often in research or tech environments. A Mechanical Engineer typically works on designing and maintaining mechanical systems across various industries, with a broader scope and more established credentials.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Texas? The most popular types of Mechanical Engineering Machine Learning jobs in Texas are:
What are popular job titles related to Internship Mechanical Engineering Machine Learning jobs in Texas? For Internship Mechanical Engineering Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship Mechanical Engineering Machine Learning jobs in Texas look for? The top searched job categories for Internship Mechanical Engineering Machine Learning jobs in Texas are:
Internship Mechanical Engineering Machine Learning jobs near you
Infographic showing various Internship Mechanical Engineering Machine Learning job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Tech Consulting

Dallas, TX • On-site

$30 - $40/hr

Full-time

Life

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Entry-Level AI/ML Developer

Fulltime

Candidate must be open to relocate


We are looking for a motivated Entry-Level AI/ML Developer to join our team. In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software engineers to solve real-world business problems using artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Assist in building AI-powered applications and automation solutions.
  • Write clean, efficient, and well-documented Python code.
  • Implement data pipelines for model training and inference.
  • Evaluate model performance and optimize algorithms.
  • Collaborate with cross-functional teams to understand business requirements.
  • Participate in code reviews and follow software development best practices.
  • Stay updated with the latest AI and machine learning technologies.


Required Qualifications

  • Bachelor's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
  • Basic understanding of machine learning algorithms and data structures.
  • Proficiency in Python programming.
  • Familiarity with libraries such as:
  • NumPy
  • Pandas
  • Scikit-learn
  • TensorFlow or PyTorch
  • Knowledge of SQL and databases.
  • Understanding of object-oriented programming concepts.
  • Familiarity with Git version control.
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.


Preferred Qualifications

  • Internship, academic project, or personal project in AI/ML.
  • Knowledge of deep learning and neural networks.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
  • Experience with APIs and REST services.
  • Understanding of data visualization tools.
  • Basic knowledge of Docker and Linux.


Thanks