ZipRecruiter

Log In

1

Research Assistant Machine Learning Jobs in Prosper, TX

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Strong communicator who can translate complex research findings into actionable decisions for ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Strong communicator who can translate complex research findings into actionable decisions for ...

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 ...

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 ...

Tiger Analytics, LLC

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Our business value and leadership has been recognized by various market research firms, including ...

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 ...

T-Mobile

Sr Engineers, Machine Learning

Frisco, TX · On-site

$97K - $134K/yr

... intelligent assistants, and enterprise task-automation applications. * Establish and drive ... Collaborate with industry partners, cloud providers, and research communities to identify and adopt ...

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 ...

next page

Showing results 1-20

All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Prosper, TX

Research Assistant Machine Learning information

See Prosper, TX salary details

$7

$20

$29

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

As of Sep 11, 2026, the average hourly pay for research assistant machine learning in Prosper, TX is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $23.32 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 job categories do people searching Research Assistant Machine Learning jobs in Prosper, TX look for?

The top searched job categories for Research Assistant Machine Learning jobs in Prosper, TX are:

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

Cities near Prosper, 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 Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,733 per year, or $20.1 per hour.

Machine Learning Engineer

Frisco, TX • On-site

UNAVAILABLE
See more jobs at UNAVAILABLEexternal

Other

Re-posted 7 days ago

Job description

Overview

Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-art computer vision and language models that power scalable, real-world solutions. You’ll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.

As part of our AI team, you’ll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands‑on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.

Responsibilities
  • Fine‑tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
  • Develop vision‑language models and Mixture of Experts architectures, from experimental design through production deployment.
  • Architect Retrieval‑Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
  • Contribute to our machine learning repositories and optimize models for performance, scalability, and real‑time inference across edge and cloud environments.
  • Drive performance optimization and scalability of ML systems across edge and cloud environments.
  • Collaborate with cross‑functional teams to integrate computer vision solutions into end‑to‑end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you'll end up doing.

Qualifications
  • 5+ years of hands‑on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
  • Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
  • Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
  • Experience building and deploying LLM-based systems and Retrieval‑Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
  • Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.
#J-18808-Ljbffr

Apply