ZipRecruiter

Log In

2

Entry Level Deep Learning Jobs in Texas (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Develop and implement machine learning and deep learning models. * Perform data preprocessing ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Nvidia

GPU Compiler Engineer

Austin, TX · On-site

Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: * B.S. or degree in Computer ...

IBM

Consultant Intern - AWS Cloud 2027

Dallas, TX · On-site

$14.75 - $19.75/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

IBM

Consultant Intern - AWS Cloud 2027

Dallas, TX · On-site

$13.75 - $18.25/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

Motion Recruitment

Recruiter - Entry Level

Dallas, TX · On-site

$50K/yr

... deep expertise of a dedicated local market team beside you. • Facilitate positive process ... your learning throughout your time at Motion Recruitment • Ongoing one-on-one support and ...

IBM

Intern Oracle Cloud 2027

Dallas, TX · On-site

$13.75 - $18.25/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

IBM

Intern Oracle Cloud 2027

Dallas, TX · On-site

$14.75 - $19.75/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... At IBM, we prioritize continuous learning, skill development, and personal growth within a culture ...

loanDepot

Entry Level Sales - Recent Grad

Dallas, TX · On-site

$15/hr

Throughout the program, you'll not only develop a deep understanding of the lending landscape ... Dedication to Learning: Embrace wholeheartedly a comprehensive training program tailored to ...

next page

Showing results 1-20

All JobsDeep Learning JobsEntry Level Deep Learning JobsEntry Level Deep Learning Jobs in Texas

Entry Level Deep Learning information

See Texas salary details

$18K

$78.4K

$172.8K

How much do entry level deep learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level deep learning in Texas is $78,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,418.00 and $130,595.00 per year, depending on experience, location, and employer.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are the key skills and qualifications needed to thrive as an entry level deep learning professional?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are the most commonly searched types of Deep Learning jobs in Texas?

The most popular types of Deep Learning jobs in Texas are:

What are popular job titles related to Entry Level Deep Learning jobs in Texas?

For Entry Level Deep Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Deep Learning jobs in Texas look for?

The top searched job categories for Entry Level Deep Learning jobs in Texas are:

Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,420 per year, or $37.7 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 12 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