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Temporary Meta Machine Learning Jobs in Irving, TX

Aquent

Java Developer

Southlake, TX · On-site

$60 - $66.67/hr

Temporary Salary: $60-66.67 Hourly W2 Start Date: Sep 7, 2026 Join a leading financial services ... Implement and deploy AI, machine learning, and Large Language Model-enabled solutions in production ...

Aquent

Business Analyst

Westlake, TX · On-site

$51 - $56.67/hr

Temporary Salary: $51-56.67 Hourly Start Date: Sep 2, 2026 Aquent, a leading talent solutions ... Document requirements for optical character recognition data extraction and machine learning models ...

StandardAero

Process Engineer (Temporary)

Dallas, TX · On-site

Provide technical support and engineering ownership for various facility systems, machinery, and ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

StandardAero

Process Engineer (Temporary)

Dallas, TX · On-site

Provide technical support and engineering ownership for various facility systems, machinery, and ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

StandardAero

Process Engineer (Temporary)

Dallas, TX · On-site

Provide technical support and engineering ownership for various facility systems, machinery, and ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

StandardAero

Process Engineer (Temporary)

Dallas, TX · On-site

Provide technical support and engineering ownership for various facility systems, machinery, and ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

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How much do temporary meta machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for temporary meta machine learning in Irving, TX is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $24.47 per hour, depending on experience, location, and employer.

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What are the key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What cities near Irving, TX are hiring for Temporary Meta Machine Learning jobs?

Cities near Irving, TX with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you

Research Associate

University of Texas at Dallas

Richardson, TX • On-site

Full-time

Re-posted 27 days ago

University Of Texas At Dallas rating

6.0

Company rating: 6.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

567th of 620 rated colleges and universities

Job description

Posting Details
Posting Number S03977P Position Title Research Associate Functional Title Department Mechanical Engineering Salary Range DOQ Pay Basis Monthly Position Status Regular full-time Location Richardson Position End Date (if temporary) Posting Open Date 10/02/2023 Posting Close Date Open Until Filled Yes Desired Start Date Job Summary
Postdoctoral position within the Department of Mechanical Engineering at The University of Texas at Dallas in grid integration of renewable energy. The position will focus on renewable forecasting, numerical weather prediction, machine learning, power system operations with high penetrations of renewables and distributed energy resources.
Minimum Education and Experience

Ph.D in a related field.

Preferred Education and Experience
Experience with one or several of the following would be beneficial: probabilistic forecasting, machine learning, statistics, grid integration of renewable energy, integrated energy systems. Good programming skills and familiar with one or more of the following tools: Python, MATLAB/Simulink, R, OpenDSS, CPLEX, GAMS, Gurobi, PSS/E.
Essential Duties and Responsibilities
Duties to include, but not limited to designing experiments, conducting research, and writing articles. Research in grid integration of renewable energy, renewable forecasting, integrated energy systems, network resilience. Work with industry and academic collaborators on related research projects, as directed by advisor. Report research results as journal and conference publications. Identify new sources of funding and participate in the preparation of proposals as required.
Physical Activities Working Conditions Additional Information
LOOKING FOR A REWARDING OPPORTUNITY?!
About Us
The University of Texas at Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. Ideas and perspectives are crucial to our vision and mission. UT Dallas is a place where members of the community from all backgrounds are welcomed, treated fairly, and encouraged in their pursuit of excellence.
A remote work schedule is not available for this position.
Special Instructions Summary Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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