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Temporary Meta Machine Learning Jobs in Durham, NC

BDC Post-Doc Research Associate

Chapel Hill, NC · On-site

$37K - $51K/yr

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... machine learning-based workflows within the platform. The role may also involve advancing ...

BDC Post-Doc Research Associate

Chapel Hill, NC · On-site

$37K - $51K/yr

  • Medical

  • Vision

  • PTO

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... machine learning-based workflows within the platform. The role may also involve advancing ...

Decision Science Lead

Raleigh, NC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Regular or Temporary: Regular Language Fluency: English (Required) English Work Shift: 1st shift ... machine learning, and AI-driven insights. The successful candidate will lead analytical initiatives ...

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... Experience with quantum defects and/or machine learning methods like machine learning interatomic ...

... Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina ... Experience with quantum defects and/or machine learning methods like machine learning interatomic ...

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Temporary Meta Machine Learning information

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

As of Aug 19, 2026, the average hourly pay for temporary meta machine learning in Durham, NC is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $24.62 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 are the most commonly searched types of Meta Machine Learning jobs in Durham, NC?

The most popular types of Meta Machine Learning jobs in Durham, NC are:

What are popular job titles related to Temporary Meta Machine Learning jobs in Durham, NC?

For Temporary Meta Machine Learning jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Temporary Meta Machine Learning jobs in Durham, NC look for?

The top searched job categories for Temporary Meta Machine Learning jobs in Durham, NC are:

What cities near Durham, NC are hiring for Temporary Meta Machine Learning jobs?

Cities near Durham, NC with the most Temporary Meta Machine Learning job openings:

Infographic showing various Temporary Meta Machine Learning job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,869 per year, or $22.1 per hour.

Postdoctoral Research Associate

UNC-Chapel Hill

Chapel Hill, NC

Full-time

Medical, Vision, PTO

Re-posted 18 days ago


University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

312th of 619 rated colleges and universities


Job description

Posting Details
Department Epidemiology - 463501 Posting Open Date 08/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Postdoctoral Research Associate Vacancy ID PDS004633 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range Dependent on Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.
Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.
UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.
Primary Purpose of Organizational Unit
The Department of Epidemiology is one of the seven departments located in the Gillings School of Global Public Health. The department's primary focus is to the development and application of research methods to understand the patterns and causes of health and disease, and the application of that knowledge to improving the health of populations. We provide strong training in research methods and opportunities for the application of epidemiology to a wide range of health problems through our research. The achievements of our faculty, staff, students, and alumni have enabled us to become one of the leading academic departments of epidemiology in the world. The department has 40 Tenured-Tenure Track / 9 Joint Tenure-Track Faculty, 22 Fixed Term / 4 Joint Fixed Term Faculty, 111 Adjuncts, 32 EHRA Non-Faculty, 20 Postdocs, 23 SHRA (Staff), 25 SHRA Temporary and 94 Students. The department's operating budget is 27 million a year.
Position Summary
Successful candidates will join the Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA) on a project aimed at developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers of excellence for outbreak analytics and disease modeling, named Insight Net. This position's efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales. This position will collaborate with a network of scientists and public health practitioners to develop solutions to problems that have direct impacts on population health. Work with this center will provide numerous opportunities to work with other Insight Net centers and public health partners, as well as have a direct impact on the work of the CDC Center for Forecasting and Outbreak Analytics.
Minimum Education and Experience Requirements
PhD in epidemiology, biostatistics, computational biology, public health, or a related field
Required Qualifications, Competencies, and Experience
* Research experience in epidemiology, biostatistics, computational biology, computer science, public health, or a related field
* Experience in epidemiology, statistics, or other quantitative field
* Experience in infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence
Preferred Qualifications, Competencies, and Experience
* Writing programs and performing analysis in R and/or Python
* Experience with version control systems like Git
* Experience working as part of large-scale research, scientific, medical, or academic projects
* Experience working in, or in support of, public health agencies or departments
Special Physical/Mental Requirements Special Instructions
For information on UNC Postdoctoral Benefits and Services click here
Quick Link https://unc.peopleadmin.com/postings/306042
Posting Contact Information
Department Contact Name and Title Justin Lessler, Professor Department Contact Telephone or Email jlessler@unc.edu Postdoctoral Affairs Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.
Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789