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Temporary Meta Machine Learning Jobs in Georgia (NOW HIRING)

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, neural networks, and natural language processing) in a variety of environments ...

Collaborate with teams to leverage AI and machine learning to improve access risk detection ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Temp to Engage Daily Responsibilities: - Provide mailroom support (approx. 80% of duties) - Receive ... machines and basic hand tools - Flexible and open to learning new areas Working Conditions ...

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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, and why are they important?

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 Temporary Meta Machine Learning jobs?

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 Georgia? The most popular types of Meta Machine Learning jobs in Georgia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Georgia? For Temporary Meta Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Georgia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Temporary Meta Machine Learning jobs? Cities in Georgia with the most Temporary Meta Machine Learning job openings:
Data Analyst, Psychology - Emory College of Arts and Sciences

Data Analyst, Psychology - Emory College of Arts and Sciences

Emory University

Atlanta, GA • On-site

Full-time

Posted 14 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

161st of 873 rated healthcare providers


Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


KEY RESPONSIBILITIES:

  • Creates and maintains a data dictionary and meta data.
  • Supports efforts to ensure that data standards are developed and maintained.
  • Ensures that the uses of data through reports and queries are accurate.
  • Supports business and system re-engineering and architecture development to define future data needs.
  • Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
  • Performs other related duties as required.

MINIMUM QUALIFICATIONS:

  • A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.

ADDITIONAL JOB DETAILS:

  • The Computational Mechanisms of Psychopathology lab (COMPLab) is hiring a Data Analyst to start
    spring/summer 2026.

  • This position will play a critical role in building and maintaining analysis pipelines, ensuring
    data quality, conducting analyses, and serving as a technical resource for lab members.

  • The ideal candidate will combine strong technical skills in neuroimaging and computational methods with the ability to collaborate effectively across diverse research projects.

  • Core responsibilities include designing and maintaining analysis pipelines for neuroimaging (functional and structural MRI), psychophysiological, behavioral, and passive sensing data; ensuring best practices for data organization and analysis; performing statistical analyses and generating visualizations for ongoing research projects; and serving as a technical resource for other lab members.

PREFERRED QUALIFICATIONS:

  • Experience with neuroimaging analysis (e.g., FSL, AFNI, SPM, ANTs, Freesurfer), strong programming skills, experience with version control systems (e.g., GitHub), knowledge of basic statistical approaches (e.g., linear regression), strong organizational skills and attention to detail, and excellent
    communication skills.
  • Computational modeling of behavior (e.g., reinforcement learning), psychophysiological data analysis (e.g., pupillometry, skin conductance), analysis of passive sensing
    data (e.g., GPS), machine learning-based neuroimaging analyses, and advanced statistical approaches (e.g., multilevel modeling).
  • The following materials are required for consideration: Cover letter, names of 3 references, link to GitHub repository or other code examples

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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