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Entry Level Machine Learning Engineer Jobs in Dallas, TX

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 ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Machine Learning * Data Science * Computer Engineering * Software Engineering * Information Systems * or related technical field * Master'''''s degree from a US university preferred * 0-3 years of ...

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Entry Level Machine Learning Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.8K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level machine learning engineer in Dallas, TX is $68,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,700.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Dallas, TX?

The most popular types of Machine Learning Engineer jobs in Dallas, TX are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Dallas, TX?

For Entry Level Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Dallas, TX look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Dallas, TX with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $68,644 per year, or $33 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 8 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