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Entry Level Machine Learning Engineer Jobs in Houston, TX

Engineer

Houston, TX · On-site

$100K - $150K/yr

As an Engineer in the Information industry, you will play a pivotal role in designing and ... Experience with machine learning frameworks such as TensorFlow or PyTorch. * Familiarity with ...

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

... machine learning, and algorithmic techniques to build, maintain, and improve on decision systems ... Required : • Master's degree in Engineering, Applied Mathematics, or a related field. • Strong ...

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology. MINIMUM EXPERIENCE:

Data Engineer II

Houston, TX

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology.  MINIMUM ...

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer Equal ...

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Entry Level Machine Learning Engineer information

See Houston, TX salary details

$28.6K

$66.2K

$112.7K

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

As of Jul 24, 2026, the average yearly pay for entry level machine learning engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 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 Houston, TX? The most popular types of Machine Learning Engineer jobs in Houston, TX are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Houston, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Houston, TX with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $66,239 per year, or $31.8 per hour.

Engineer

Urnet Inc

Houston, TX • On-site

$100K - $150K/yr

Full-time

Posted 27 days ago


Job description

About the Role:

As an Engineer in the Information industry, you will play a pivotal role in designing and implementing advanced systems that leverage Artificial Neural Networks to solve complex problems. Your work will directly contribute to the development of innovative solutions that enhance operational efficiency and drive technological advancements. You will collaborate with cross-functional teams to ensure that systems are robust, scalable, and meet the highest standards of quality. This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of our technology offerings and improve user experiences across various applications.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Proven experience in developing applications using C++.
  • Strong understanding of Artificial Neural Networks and their applications in systems engineering.

Preferred Qualifications:

  • Master's degree in a relevant field.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with software development methodologies and tools.

Responsibilities:

  • Design, develop, and implement algorithms using Artificial Neural Networks to address specific engineering challenges.
  • Write and maintain high-quality C++ code to support system functionalities and performance optimization.
  • Collaborate with software developers, data scientists, and other engineers to integrate neural network solutions into existing systems.
  • Conduct system testing and validation to ensure reliability and accuracy of the implemented solutions.
  • Document technical specifications and provide training to team members on new technologies and methodologies.

Skills:

The required skills in Artificial Neural Networks will be utilized daily to create models that can learn from data and improve over time, ensuring that our systems remain cutting-edge. Proficiency in C++ is essential for writing efficient code that can handle complex computations and large datasets, which is a core part of our engineering processes. Systems engineering skills will be applied to integrate various components of our technology stack, ensuring seamless operation and performance. Additionally, preferred skills such as experience with machine learning frameworks will enhance your ability to implement state-of-the-art solutions. Overall, these skills will enable you to contribute effectively to projects that require innovative thinking and technical expertise.