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Entry Level Machine Learning Engineer Jobs in Katy, TX

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Persona Ai

Software Engineering Intern

Houston, TX · On-site

Software Engineering Intern We're seeking a Software Engineering Intern to join our team in Houston ... Machine Learning: Implement learning algorithms, training pipelines, and model optimization for ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Katy, TX

Entry Level Machine Learning Engineer information

See Katy, TX salary details

$27.5K

$63.6K

$108.3K

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

As of Jun 12, 2026, the average yearly pay for entry level machine learning engineer in Katy, TX is $63,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $72,000.00 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 Katy, TX? The most popular types of Machine Learning Engineer jobs in Katy, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Katy, TX? For Entry Level Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Katy, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Katy, TX are:
What cities near Katy, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Katy, 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 Katy, TX as of June 2026, with employment types broken down into 11% Internship, 74% Full Time, 9% Part Time, and 6% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $63,639 per year, or $30.6 per hour.
Machine Learning & AI Infrastructure Engineer

Machine Learning & AI Infrastructure Engineer

KORE1 Technologies

Houston, TX • Remote

$190K/yr

Other

Posted 6 days ago

Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote.
Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities

  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.
Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.
Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.
What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.

Job Requirements
Compensation depends on experience but is typically $170-190k/year.
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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