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Research Assistant Machine Learning Jobs in Forney, TX

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 ...

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 ...

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 ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

... assistants. * Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to ... Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

... assistants. * Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to ... Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams * Integrate RL environments into the training stack ...

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

Research Scientist Senior This role requires associates to be in-office 1 - 2 days per week ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Showing results 21-40

Research Assistant Machine Learning information

See Forney, TX salary details

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$19

$28

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

As of Sep 3, 2026, the average hourly pay for research assistant machine learning in Forney, TX is $19.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.93 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 Forney, TX look for?

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

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

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

Infographic showing various Research Assistant Machine Learning job openings in Forney, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 20% Part Time, 1% Temporary, 2% Contract, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,053 per year, or $19.7 per hour.

Full-time

Re-posted 23 days ago


Job description

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Requirements


We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integrationLLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.

Key Responsibilities:
  • Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS).
  • Integrate LLM and Generative AI APIs using providers such as AWS BedrockOpenAI, and others.
  • Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem.
  • Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
  • (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities.
  • Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices.
Required Skills & Experience:
  • 5+ years of hands-on software development experience with Python.
  • Proven expertise in FastAPI and microservice architecture.
  • Strong understanding of cloud-native applicationscontainer orchestration (ECS, Docker), and AWS tools.
  • Proficiency in LLM API integration and working with Generative AI frameworks.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity with Bedrock AgentCore or other agentic systems (nice to have).
Why Join Us:

You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.