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Temporary Meta Machine Learning Jobs in Virginia

Use AI and machine learning features within Google Analytics and third-party tools to identify ... Develop and refine prompts to automate repetitive tasks like meta-tag generation, schema markup ...

Hourly Hourly Wage: $22.00 with no experience Temp to Permanent Function: Operations The statements ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

$74K - $85K/yr

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Knowledge of temporary lighting and power distribution systems * Ability to read and interpret ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

... all machinery, making necessary operational adjustments, and ensuring equipment is running ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Certified Scrum Master (CSM) or formal training in AI, machine learning, or advanced business ... Travel: May be required up to 25% of the time to CONUS locations for temporary duty (TDY)

Showing results 21-40

Temporary Meta Machine Learning information

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 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 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 most commonly searched types of Meta Machine Learning jobs in Virginia? The most popular types of Meta Machine Learning jobs in Virginia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Virginia? For Temporary Meta Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Virginia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Temporary Meta Machine Learning jobs? Cities in Virginia with the most Temporary Meta Machine Learning job openings:

Biostatistics Postdoctoral Research Associate, Department of Public Health Sciences

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 18 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 617 rated colleges and universities


Job description

The Biostatistics Division in the Department of Public Health Sciences in the School of Medicine at the University of Virginia (UVA) is seeking a highly motivated post-doctoral research associate. The research associate will (i) work with Dr. Hong Zhu and a multidisciplinary research team in development and implementation of novel methods for comparative effectiveness research (CER) using complex observational healthcare data, with application to cancer studies; and (ii) collaborate on and support multiple interdisciplinary research projects funded by a multi-institution, NCI-funded, U54 Specialized Program of Research Excellence (SPORE) grant on childhood acute lymphoblastic leukemia, under the supervision of Dr. Hong Zhu, Co-Director of U54 Biostatistics and Data Management Core.
The work for this position will include (i) For CER project: Model multilevel survival data in the presence of confounding and missing data, machine learning approaches as appropriate; Develop computing programs and software; Apply new methods to real-world healthcare data; and (ii) For U54 projects: Plan and conduct database development and data management; Design and perform reproducible statistical analyses for interim and final reports; Assist with abstract and manuscript preparation; Develop and implement innovative procedures in data collection, data management, presentation of results, and statistical analyses. The selected candidate will be expected to participate in the development of publications for peer-reviewed journals and grant proposals to funding agencies.
Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.
Minimum Qualifications
Qualified candidates must have a PhD in biostatistics, statistics, or a related quantitative field, by the appointment start date.
Preferred Qualifications
Strong background and experience in survival analysis, missing data methods, causal inference, machine learning, and clinical biostatistics are preferred, including proficiency in R, SAS/STATA, Python, and/or Markdown. Excellent written and verbal communication skills are required.
Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary will be commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits .
This is a restricted position, which is dependent on funding and is contingent upon funding availability. This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA .
Application review will begin after May 2, 2026.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
How to Apply
Please apply online , by searching for requisition number R0082712. Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For additional information about the position, please contact Hong Zhu, Professor , at hzhu2m@virginia.edu .
For questions about the application process, please contact Bill Crane, Senior Recruiter, xer5ff@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819