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Entry Level Material Science Engineering Jobs in Garland, TX

... Science, Engineering, Mathematics, or a related technical field. * Master''s degree preferred ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... Recent computer science/engineering/mathematics/statistics or science graduates or people looking ...

Working toward a bachelor's ormaster's degree in BiomedicalEngineering,MechanicalEngineering,ElectricalEngineering, IndustrialEngineering,Materials Science & Engineering,Computer Engineering, or a ...

Working toward a bachelor's ormaster's degree in BiomedicalEngineering,MechanicalEngineering,ElectricalEngineering, IndustrialEngineering,Materials Science & Engineering,Computer Engineering, or a ...

Sr. Asphalt Technician

Ennis, TX · On-site

$30 - $32/hr

Bachelor's degree in Chemistry, Chemical Engineering, Materials Science, Engineering, or a related technical field preferred. * Previous laboratory or quality-control experience in asphalt, roofing ...

Bachelor of Science in any of the multi-disciplined Civil Engineering, Construction Engineering and Management, Materials Science Engineering, Architectural Engineering, and Geology * A professional ...

Showing results 21-40

Entry Level Material Science Engineering information

See Garland, TX salary details

$13

$25

$42

How much do entry level material science engineering jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level material science engineering in Garland, TX is $25.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $31.83 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Material Science Engineering vs Entry Level Metallurgical Engineering?

AspectEntry Level Material Science EngineeringEntry Level Metallurgical Engineering
Required CredentialsBachelor's in Materials Science, Engineering, or related fieldBachelor's in Metallurgical Engineering or Materials Science
Work EnvironmentResearch labs, manufacturing plants, R&D departmentsMining sites, metal production facilities, manufacturing plants
Industry UsageAutomotive, aerospace, electronics, consumer productsMining, metal extraction, alloy development, manufacturing

Entry Level Material Science Engineering and Entry Level Metallurgical Engineering share foundational knowledge and often overlap in industries like manufacturing and R&D. However, Material Science focuses more on the properties and applications of materials, while Metallurgical Engineering emphasizes metal extraction and processing. Both roles typically require a bachelor's degree and involve work in labs or industrial settings, but their specific industry applications differ slightly.

What job categories do people searching Entry Level Material Science Engineering jobs in Garland, TX look for?

The top searched job categories for Entry Level Material Science Engineering jobs in Garland, TX are:

What cities near Garland, TX are hiring for Entry Level Material Science Engineering jobs?

Cities near Garland, TX with the most Entry Level Material Science Engineering job openings:

Infographic showing various Entry Level Material Science Engineering job openings in Garland, TX as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 21% Part Time, and 5% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $53,688 per year, or $25.8 per hour.

Other

Posted 10 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.