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Entry Level Machine Learning Engineer Jobs in Dallas, TX

Sr. Machine Learning Engineer

Plano, TX

$117K - $154K/yr

Toyota's Data Science department is looking for a passionate and highly motivated Machine Learning Engineer. The primary responsibility of this role is to operationalize complex models, analytical ...

New

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

AI/Client Engineer Further requirements and responsibilities are as follows ... Design Enterprise Machine Learning platforms that are capable of running predictive models.

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

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Entry Level Machine Learning Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

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

As of Jun 19, 2026, the average yearly pay for entry level machine learning engineer in Dallas, TX is $68,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

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 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 is an Entry Level Machine Learning Engineer job?

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 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:
Infographic showing various Entry Level Machine Learning Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 4% Internship, 63% Full Time, 25% Part Time, and 8% Nights. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $68,615 per year, or $33 per hour.

Graph Machine Learning Engineer (Network)

Vailexa

Plano, TX • On-site, Remote

Full-time

Posted 4 days ago


Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Summary: We are seeking a talented Graph Machine Learning Engineer to join our team and drive the development of innovative graph-based machine learning models. The ideal candidate will leverage their expertise to solve complex problems and enhance our data-driven decision-making capabilities.

Responsibilities:

  • Design and implement graph neural network models to extract insights from large datasets.
  • Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
  • Develop scalable algorithms for graph data processing and analysis.
  • Perform data pre-processing and feature engineering to ensure high-quality model inputs.
  • Stay up-to-date with the latest trends and advancements in graph machine learning.
  • Conduct experiments to evaluate model performance and refine algorithms as necessary.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in machine learning, with a focus on graph-based methods.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
  • Knowledge of graph databases and query languages (e.g., Neo4j, Cypher).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.

👉 Apply now and start building your journey with Vailexa.