Summer Internship – IT & Data Analytics Intern (AI/ML Focus) 

Location:                      Irving, TX (On-Site) 
Department:                 Meriton IT & Data Analytics 
Internship Type:          Summer Internship (Full‑Time) 
Reports To:                  Hiring Manager – Meriton Technology & Analytics 

 If you’re looking to make an impact, we’re glad you’re here. At Meriton, you’ll join a team that believes in big ideas, doing great work, and building careers that matter—every step of the way. 

About the Role 

Meriton is seeking a highly motivated IT & Data Analytics Intern with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. This role is ideal for students who enjoy problem‑solving, exploring emerging technologies, and applying analytics to drive insights and operational excellence. 

You’ll work closely with the Meriton technology team to support internal analytics, automation projects, and AI‑driven initiatives that enhance business decision‑making and improve efficiency. 

Key Responsibilities 

AI & Data Analytics 

• Assist in building and evaluating machine learning models, including data preprocessing, feature engineering, and model validation. 

• Use tools such as Cursor, Claude Code, AI Foundry, and similar AI development platforms to prototype automation and analytics solutions. 

• Conduct exploratory data analysis (EDA) on structured and unstructured datasets. 

• Support the creation of dashboards, reports, and visualizations for business stakeholders. 

• Research and recommend AI use cases that align with team strategy and business needs. 

IT & Technical Support 

• Collaborate with IT partners to streamline workflows through scripts, automation, and analytics. 

• Troubleshoot data, system, or integration issues as needed. 

• Document technical processes, workflows, and best practices. 

AI Product & Tooling Initiatives 

• Experiment with generative AI tools to assist with:  

• Query generation 

• Code generation & refactoring 

• Data pipeline development 

• Business insights summarization 

• Workflow automation 

• Partner with team members to test, evaluate, and implement AI‑powered solutions. 

Required Qualifications 

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related fields. 

• Foundational coursework or hands‑on experience in:  

• Artificial Intelligence / Machine Learning 

• Data Science methodologies 

• Python, R, SQL, or similar languages 

• Comfortable working with modern AI coding tools such as:  

• Cursor (AI coding environment) 

• Claude Code / Claude AI 

• AI Foundry or other LLM ops platforms 

• Strong analytical thinking, problem‑solving abilities, and attention to detail. 

• Eagerness to learn, experiment, and adopt emerging technologies. 

Preferred Qualifications 

• Experience with:  

• Jupyter Notebooks 

• Pandas, NumPy, Scikit‑Learn, PyTorch or TensorFlow 

• Git / version control 

• Power BI or Tableau 

• Familiarity with API calls, cloud platforms, or DevOps automation. 

• Prior hands‑on project work involving AI agents, ML modeling, or generative AI use cases. 

Meriton is an equal opportunity employer

Position Overview 

We are seeking a capable and energetic Environmental Test Engineer to validate our satellite’s ability to survive the harsh conditions of launch and Low Earth Orbit (LEO). In this role, you will be responsible for the end-to-end planning, coordination, and execution of critical test campaigns. You will work closely with systems, mechanical, and electrical engineering teams to ensure mission readiness. The ideal candidate thrives in a fast-paced, dynamic environment and demonstrates strong ownership over their work, making a direct impact on the success of our rapidly growing business.

Key Responsibilities:

• Perform Thermal Vacuum (TVAC), vibration, and shock testing on components, subsystems, and fully assembled satellites.
• Coordinate logistics and scheduling with internal engineering teams and external test facilities.
• Work with and oversee environmental test vendors during off-site testing campaigns.
• Support test article instrumentation (e.g., thermocouples, accelerometers, strain gauges) and data acquisition system setup.
• Analyze test data, interpret results, and provide actionable feedback to design and manufacturing groups.
• Own, operate, and maintain internal environmental test infrastructure, ensuring compliance with safety protocols.
• Lead root cause analysis and drive the resolution of test anomalies and failures.
• Contribute to the continuous improvement of test processes, procedures, and documentation.
• Serve as the subject-matter expert on environmental test equipment and methodologies.

Qualifications

Education:

Bachelor’s degree in mechanical engineering, aerospace engineering, or a related technical field.

Experience:

• A minimum of 3 years of direct, hands-on experience in environmental testing of aerospace, defense, or other high-reliability systems.
• Working knowledge of relevant environmental test standards (e.g., NASA GEVS, MIL-STD-810).
• Demonstrated proficiency with TVAC chambers and vibration tables (sine/random).
• Ability to read and interpret mechanical drawings, electrical schematics, and technical specifications.
• Excellent mathematical, analytical, and problem-solving skills.
• Hands-on experience with test instrumentation and data acquisition systems.

Preferred Qualifications:

• Direct experience with environmental testing of satellites or spacecraft.
• In-depth knowledge of aerospace materials and their behavior in vacuum, thermal, and vibrational environments.

Soft Skills:

• A proactive and accountable approach to managing projects from planning to completion.
• The ability to thrive and prioritize effectively in a fast-paced, dynamic R&D and manufacturing environment.
• Strong interpersonal skills to work effectively with cross-functional engineering teams and external vendors.
• A methodical and analytical mindset for troubleshooting complex test anomalies.
• Clear and concise written and verbal communication skills for reporting results and documenting processes.

Technology Stack:

• NASA GEVS, MIL-STD-810
• TVAC Chambers, Electrodynamic Shakers (Vibration Tables), Shock Test Systems, Data Acquisition (DAQ) Hardware
• Accelerometers, Thermocouples, Strain Gauges, Force Sensors
• Data Analysis Software (e.g., MATLAB, Python - NumPy/SciPy), DAQ Control Software (e.g., LabVIEW, Dewesoft, m+p Analyzer)

Physical Requirements

• Ability to stand and walk for extended periods in a lab environment.
• Must be able to lift and carry test equipment and components up to 40 pounds.
• Manual dexterity required to handle and install sensitive instrumentation and cabling.
• Ability to work in an environment with moderate noise levels from test equipment.
• Visual acuity to read schematics and inspect small components.
• May require occasional travel to external test facilities.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.