2

Entry Level Machine Learning Engineer Jobs in Grapevine, TX

We're seeking a Machine Learning Engineer with solid foundational expertise to develop and deploy intelligent solutions across our smart manufacturing platform. What sets this role apart: you'll ...

They are seeking an AI/ML Engineer to design and develop large scale software solutions, provide technical leadership, and apply advanced machine learning techniques to enhance their projects.

In this role, you will work across the full technology stack, leveraging modern cloud platforms, machine learning technologies, and software engineering best practices to deliver innovative products ...

The ideal candidate will have deep expertise in software engineering, machine learning systems, LLMs, agent frameworks, and cloud-native architectures to build scalable, secure, and reliable AI ...

New

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ...

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 ...

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Machine Learning Algorithms. * Statistical Modeling. * End to end deployment. * Metric generation. * Model monitoring and deployment. * Prompt Engineering * Hand on with ML Model optimization ...

... machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance Assist engagement with key business stakeholders in ...

Focus on AI application engineers building enterprise GenAI solutions rather than AI researchers ... Machine learning model development is not required. Data science experience is not required.

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Grapevine, TX salary details

$27.7K

$64.1K

$109K

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 Grapevine, TX is $64,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $72,500.00 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 Grapevine, TX? The most popular types of Machine Learning Engineer jobs in Grapevine, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Grapevine, TX? For Entry Level Machine Learning Engineer jobs in Grapevine, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Grapevine, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Grapevine, TX are:
What cities near Grapevine, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Grapevine, TX with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Grapevine, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $64,082 per year, or $30.8 per hour.
Perception Engineer I - Project Based

Perception Engineer I - Project Based

Autonomous Solutions

Fort Worth, TX • On-site

$72K - $95K/yr

Temporary

Medical, Retirement, PTO

Posted 25 days ago


Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous compactor platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.
JOB SUMMARY
The Perception Engineer I supports the development, integration, and testing of perception capabilities that enable ASI's autonomous compactors to understand terrain, detect obstacles, recognize work-area conditions, and operate safely in construction environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support environmental awareness, terrain understanding, obstacle detection, and autonomous machine operation.
As a Level I engineer within ASI's five-level engineering structure, this position completes defined engineering assignments under the guidance of more experienced engineers. The role provides an opportunity to develop practical experience in robotics, computer vision, sensor processing, software development, and autonomous heavy-equipment testing while contributing to the Compactor Team's development goals.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Support the development, implementation, and testing of perception software for autonomous compactor applications
  • Assist with capabilities involving obstacle detection, object classification, terrain understanding, work-area awareness, and environmental sensing
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Develop and maintain software components, scripts, and engineering tools under the direction of experienced team members
  • Assist with integrating perception software into ASI's autonomous compactor platforms and embedded computing systems
  • Evaluate assigned perception features using recorded datasets, simulation, laboratory testing, and vehicle field testing
  • Review test data to identify false detections, missed detections, sensor issues, and performance limitations
  • Support the collection, organization, labeling, visualization, and replay of sensor data
  • Assist with sensor installation, configuration, calibration, and validation activities
  • Develop basic tools for data processing, visualization, automated testing, and performance analysis
  • Troubleshoot defined software, sensor, and system-integration issues with support from senior engineers
  • Contribute to unit testing, regression testing, and documentation for perception software components
  • Work with GNC, embedded software, systems, test, and field teams to support autonomous compactor integration
  • Participate in code reviews, design discussions, sprint planning, and technical training activities
  • Document software changes, test results, technical findings, and known system limitations
  • Support field testing, customer demonstrations, and deployment activities as required
  • Follow established software-development, safety, quality, and configuration-management practices

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Zero to two years of professional experience in computer vision, robotics, machine learning, sensor processing, or software engineering
  • Academic, internship, research, or project experience developing software in C++ or Python
  • Basic understanding of computer vision, robotics, data processing, machine learning, or geometric algorithms
  • Familiarity with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Familiarity with Linux-based software-development environments
  • Basic understanding of version control systems such as Git
  • Ability to analyze technical data and communicate findings clearly
  • Strong troubleshooting, learning, and problem-solving skills
  • Strong attention to detail and willingness to follow established engineering processes
  • Ability to receive technical direction and collaborate effectively with cross-functional teams
  • Strong written and verbal communication skills

PREFERRED QUALIFICATIONS
  • Internship, research, capstone, or personal-project experience involving robotics, autonomous vehicles, computer vision, or machine learning
  • Familiarity with ROS, ROS2, or similar robotics middleware
  • Exposure to OpenCV, Point Cloud Library, PyTorch, TensorFlow, or similar technologies
  • Experience working with image data, point clouds, sensor data, or machine-learning datasets
  • Familiarity with coordinate systems, transformations, sensor calibration, or data synchronization
  • Experience developing software for embedded, real-time, or robotic systems
  • Exposure to simulation, recorded-data replay, software-in-the-loop, or hardware-in-the-loop testing
  • Familiarity with construction equipment, compactors, heavy machinery, or off-road vehicles
  • Interest in terrain analysis, soil compaction, construction automation, or autonomous heavy equipment
  • Experience testing software or robotic systems in outdoor or field environments

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.