2

Entry Level Machine Learning Engineer Jobs in La Marque, TX

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

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

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 ...

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. ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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 ...

ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See La Marque, TX salary details

$27.5K

$63.6K

$108.2K

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

As of Jun 17, 2026, the average yearly pay for entry level machine learning engineer in La Marque, TX is $63,614.00, 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 cities near La Marque, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near La Marque, TX with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in La Marque, TX as of June 2026, with employment types broken down into 11% Internship, 73% Full Time, 10% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $63,614 per year, or $30.6 per hour.

Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Other

Posted 15 days ago


Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
  • Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
  • Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
QualificationsRequired: 
  • Have an advanced degree (Ph.D or Master's) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
  • Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
  • Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
  • Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred: 
  • Have a proven track record of research publications in top conferences and/or journals as the first author.
  • Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.