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Research Assistant Machine Learning Jobs in Mansfield, TX

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Establish operational visibility for ML systems and assist with troubleshooting and production ... Research emerging technologies and recommend enhancements to machine learning delivery, including ...

Addison Group

Machine Learning Developer

Dallas, TX · On-site

$115K - $140K/yr

Establish operational visibility for ML systems and assist with troubleshooting and production ... Research emerging technologies and recommend enhancements to machine learning delivery, including ...

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX · On-site

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and ...

Adams Clinical

Clinical Research Assistant

Desoto, TX · On-site

$19.23 - $23.08/hr

Opportunities for professional growth and learning * A team dedicated to improving lives through ... The Clinical Research Assistant (RA) provides foundational support in the conduct of clinical ...

Adams Clinical

Clinical Research Assistant

Desoto, TX · On-site

$19.23 - $23.08/hr

Opportunities for professional growth and learning * A team dedicated to improving lives through ... The Clinical Research Assistant (RA) provides foundational support in the conduct of clinical ...

Adams Clinical

Clinical Research Assistant

Desoto, TX · On-site

$19.23 - $23.08/hr

Opportunities for professional growth and learning * A team dedicated to improving lives through ... The Clinical Research Assistant (RA) provides foundational support in the conduct of clinical ...

Cotality

Senior Machine Learning Scientist

Dallas, TX · On-site

Research Leadership: Lead research initiatives to explore cutting-edge machine learning techniques and methodologies. * Data Analysis: Analyze large, diverse data sets to identify patterns, trends ...

Crowe LLP

Machine Learning Intern

Dallas, TX · On-site

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

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How much do research assistant machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for research assistant machine learning in Mansfield, TX is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.84 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Mansfield, TX?

For Research Assistant Machine Learning jobs in Mansfield, TX, the most frequently searched job titles are:

What cities near Mansfield, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Mansfield, TX with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Mansfield, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,841 per year, or $19.6 per hour.

Machine Learning Developer

Dallas, TX • On-site

Addison Group
See more jobs at Addison Groupexternal

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Job Title: Machine Learning Developer
Location (city, state): Dallas, Texas - onstie 5x a week
Assignment Type: Direct Hire
Pay: $115,000-$140,000 annually, plus a short-term incentive and long-term incentive.
Benefits: This position is eligible for medical, dental, vision, and 401(k). The company offers fully paid family benefits, a generous 401(k) match, and a competitive paid-time-off program.
Our client is a well-established energy organization with significant operations in the Permian Basin. The company is expanding its artificial intelligence and machine learning capabilities and offers a collaborative environment where employees are trusted to take ownership, contribute ideas, and influence technical direction.
We are seeking a Machine Learning Developer to serve as the first dedicated ML engineering professional within a newly established AI/ML function. This individual will create the MLOps framework, development standards, and platform foundation needed to move machine learning models from experimentation into secure, reliable production environments.
This is a hands-on individual contributor role with significant influence over the organization's future machine learning strategy. The successful candidate will be comfortable setting technical direction, recommending new approaches, and performing the detailed engineering work required to implement those recommendations. This opportunity is ideal for someone who enjoys building programs from the ground up and working in a fast-moving, entrepreneurial environment.
Key Responsibilities:
  • Develop the organization's MLOps strategy, technical standards, reusable workflows, and preferred process for moving models into production.
  • Build and support machine learning solutions within the Databricks environment.
  • Collaborate with data scientists to deploy models using tools such as MLflow, AutoML, Unity Catalog, and Databricks Model Serving.
  • Create automated CI/CD processes for model training, deployment, testing, and promotion between environments.
  • Manage the full model lifecycle, including experiment tracking, model registration, version control, lineage, governance, and user access.
  • Implement monitoring and validation processes for production models, features, and source data.
  • Establish operational visibility for ML systems and assist with troubleshooting and production support when issues arise.
  • Develop standards for data quality, feature reliability, schema validation, and data version management.
  • Produce technical documentation, reference designs, reusable templates, and engineering playbooks.
  • Lead code reviews and share best practices with data science and engineering professionals.
  • Work with business leaders, data scientists, data engineers, and IT teams to define requirements and encourage adoption of shared ML frameworks.
  • Research emerging technologies and recommend enhancements to machine learning delivery, including GenAI, agent-based systems, and AI-assisted development tools.
  • Present technical recommendations to stakeholders and confidently explain or defend a position when viewpoints differ.

Qualifications:
  • Bachelor's degree in computer science, data science, engineering, mathematics, statistics, or a related discipline is required.
  • Three to five years of experience developing, deploying, or supporting machine learning or data-intensive production systems is preferred; candidates with more advanced experience are also encouraged to apply.
  • Hands-on experience with Databricks MLflow and AutoML is required.
  • Advanced Python skills with the ability to create clean, tested, and maintainable production code.
  • Strong SQL capabilities and familiarity with Spark or another distributed data-processing technology.
  • Experience implementing or supporting MLOps practices such as automated pipelines, model deployment, production monitoring, and lifecycle governance.
  • Knowledge of software development fundamentals, including Git, unit testing, CI/CD, and common application design principles.
  • Understanding of widely used machine learning algorithms, model-training methods, evaluation techniques, and hyperparameter tuning.
  • Ability to translate complex technical topics for both technical and nontechnical audiences.
  • Strong analytical, organizational, interpersonal, and problem-solving skills.
  • Ability to work independently, manage competing priorities, and operate with limited supervision.

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