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Machine Learning Engineer Intern Jobs in Kingsville, TX

Electrical Intern

Corpus Christi, TX · On-site

$14.75 - $19.25/hr

Learning Objectives Throughout the internship, the Electrical Intern will gain experience in: * Residential electrical systems * Preventive maintenance programs * Electrical troubleshooting ...

Senior Analytics Engineer

San Pedro, TX · On-site

$89K - $123K/yr

... Machine learning concepts and foundational predictive analytics Duties : 1. Understand the Business ... 4. Engineer the Integrations and Data Movement: Design, build, and maintain secure ...

Machine Learning Engineer Intern information

See Kingsville, TX salary details

$23.8K

$39.8K

$82.3K

How much do machine learning engineer intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Kingsville, TX is $39,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Kingsville, TX are hiring for Machine Learning Engineer Intern jobs? Cities near Kingsville, TX with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Kingsville, 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 $39,804 per year, or $19.1 per hour.

Electrical Intern

Corpus Christi Housing

Corpus Christi, TX • On-site

$14.75 - $19.25/hr

Full-time

Posted 6 days ago


Job description

Position Summary

The Electrical Intern assists the Maintenance Department with basic electrical maintenance and repair activities throughout the Housing Authority's residential communities and administrative facilities. Under close supervision, the intern gains practical experience in electrical systems, preventive maintenance, safety practices, and customer service while supporting licensed electricians and maintenance staff.

This internship is designed to provide educational and career development opportunities for students pursuing a career in electrical technology, construction trades, facilities maintenance, or a related field.

Essential Duties and Responsibilities

  • Assist with inspecting, maintaining, and repairing electrical systems in residential units and Authority facilities.
  • Learn to troubleshoot electrical issues under the supervision of qualified staff.
  • Assist with replacing:
    • Light fixtures
    • Switches
    • Electrical outlets (as permitted under supervision)
    • Ballasts
    • LED lighting
    • Smoke detectors
    • GFCI receptacles
  • Assist in preventive maintenance inspections of electrical equipment.
  • Help install energy-efficient lighting and electrical components.
  • Learn to read basic electrical drawings, wiring diagrams, and work orders.
  • Maintain inventory of electrical supplies, tools, and equipment.
  • Keep work areas clean and organized.
  • Assist in documenting completed work orders using computerized maintenance software.
  • Respond to routine maintenance requests with maintenance staff.
  • Observe and follow all Housing Authority safety standards.
  • Properly use personal protective equipment (PPE).
  • Provide courteous service when interacting with residents and coworkers.
  • Attend assigned safety meetings and training sessions.
  • Perform other duties as assigned.

Learning Objectives

Throughout the internship, the Electrical Intern will gain experience in:

  • Residential electrical systems
  • Preventive maintenance programs
  • Electrical troubleshooting techniques
  • Electrical safety practices
  • Work order management
  • Customer service in public housing
  • Inventory and materials management
  • Team collaboration
  • HUD property maintenance standards

Minimum Qualifications

  • High school diploma or GED.
  • Currently enrolled in or recently completed an Electrical Technology, Industrial Maintenance, Building Trades, or related vocational or college program preferred.
  • Valid Texas driver's license with acceptable driving record preferred.
  • Ability to pass pre-employment background screening and drug testing.

Knowledge, Skills, and Abilities

  • Basic understanding of electrical principles.
  • Willingness to learn residential electrical systems.
  • Ability to safely use hand and power tools.
  • Strong attention to detail.
  • Good communication and interpersonal skills.
  • Ability to follow verbal and written instructions.
  • Ability to work independently after receiving instruction.
  • Commitment to workplace safety.
  • Professional attitude and dependable attendance.

Physical Requirements

  • Frequently lift and carry up to 50 pounds.
  • Climb ladders and work at varying heights.
  • Bend, stoop, kneel, crawl, and stand for extended periods.
  • Work indoors and outdoors in varying weather conditions.
  • Use hand and power tools safely.
  • Distinguish colors for electrical wiring identification.
  • Work in occupied residential units.

Working Conditions

  • Residential apartment communities
  • Administrative facilities
  • Mechanical and electrical rooms
  • Indoor and outdoor work
  • Exposure to heat, cold, dust, noise, and occasional inclement weather

Preferred Qualifications

  • Enrollment in a technical college, trade school, apprenticeship, or community college electrical program.
  • Basic knowledge of the National Electrical Code (NEC).
  • Previous experience using hand tools or performing basic maintenance.



NOTE: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.