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Temporary Meta Machine Learning Jobs in Illinois

University of Utah

Research Specialists

Campus, IL

$14.38 - $27.87/hr

No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Omnicom Media US H&S

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

Experienced in machine learning techniques, causal models, etc. to support the analysis of ... Meta (Blueprint), SQL, Python, R (online) * Expert-level domain knowledge of business/industry ...

Uottawa

APTPUO Winter 2027- MIA- 5130 (ONLINE)

Campus, IL · On-site

$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Uottawa

APTPUO Fall 2026- MIA- 5130 (ONLINE)

Campus, IL · On-site

$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06 ... in AI, machine learning, or data-driven decision systems. Experience working with optimization ...

Aerotek

CNC Machine Operator

Peoria, IL

$15 - $19/hr

... learning. Work Environment Embrace a welcoming environment with two shifts available. The role ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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

Research Specialists

University of Utah

Campus, IL

$14.38 - $27.87/hr

Part-time

Retirement

Posted 8 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

335th of 537 rated colleges and universities

Job description

Details
Open Date 06/05/2026 Requisition Number PRN17122N Job Title Research Specialists Working Title Research Specialists Career Progression Track P00 Track Level P2 - Developing FLSA Code Professional Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
TBD
Is this a work study job? No VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $14.38 - $27.87 Close Date 09/05/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
Research Specialists
The Division of Epidemiology in the Department of Internal Medicine is seeking a Research Analyst to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the Veterans Health Administration within the UofU CHPC and VA VINCI secure computing environments. This position offers meaningful opportunities to engage in translational research that directly impacts patient care and health system operations.

Key Responsibilities

Develop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL.
Assist with the design, training, and evaluation of machine learning models applied to healthcare problems.
Support research workflows within established Linux-based environments under technical supervision.
Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators.
Contribute to manuscript preparation, documentation, and reproducible research practices.
Collaborate with clinical and research faculty, staff, and other trainees.
Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data governance and compliance requirements
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Research Specialist, II
Set up and conduct experiments according to established research protocols while working under the direction of scientists. Perform a variety of tasks contributing to tests and studies to support the objectives of research projects. Prepare samples for analysis and perform laboratory tasks and procedures. Collect and analyze data, and test, validate, and document results. Summarize research findings to help inform decisions. Assist in the preparation of research documentation, such as grants, regulatory submissions, manuscripts, reports, summaries, publications, and presentations. Remain knowledgeable in the research methods, techniques, and developments in field of specialty. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.

Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P56432
Grade: P13




Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Research Specialist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
Required

Educational background (completed a Bachelor's or Master's degree or currently enrolled in a Master's degree) in computing, data science, applied mathematics, medical/health informatics, or a closely related discipline.
Intermediate to advanced proficiency in Python and SQL.
Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data)
Intermediate to advanced experience working independently in a Linux environment (shell scripting, package management, user and service configuration).
Ability to execute defined tasks independently while receiving structured requirements and technical guidance.
Availability to attend on-site meetings or work in person for part of the scheduled time.
This position requires eligibility for a VA appointment to access VA research systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status.


Preferences

Preferred

Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs.
Familiarity with healthcare data standards (e.g., SNOMED CT, LOINC, RxNorm) or electronic health record systems.
Experience with version control (Git/GitHub) and collaborative software development practices.
Experience in writing and publishing scientific or technical work in peer-reviewed papers, whitepapers, technical articles, or blogs.
Special Instructions Summary
Submit a link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis.
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Company size

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Headquarters location

Salt Lake City, UT, US

Year founded

1850

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