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Temporary Meta Machine Learning Jobs in Illinois

Meta

Client Solutions Manager

Chicago, IL · Remote

$87K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Operations & Maintenance Lead

Dekalb, IL

$114K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Director, Marketing Data Science

Chicago, IL

$253K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Critical Facility Engineer

Dekalb, IL

$88K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Energy Sourcing Manager

Chicago, IL

$132K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

New

Uottawa

APTPUO Fall 2026- MIA5100- (ONLINE)

Campus, IL · On-site

$239.47/hr

MACHINE LEARNING Course Code: MIA5100 Section: A Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/05 ...

Uottawa

APTPUO Winter 2027- MIA5100- (ONLINE)

Campus, IL · On-site

$239.47/hr

MACHINE LEARNING Course Code: MIA5100 Section: A Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/06/05 ...

Uottawa

APTPUO-Winter 2027-SYS5180

Campus, IL · On-site

$239.47/hr

Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Industry experience applying mathematical concepts in AI and machine learning contexts

Uottawa

APTPUO-Fall 2026-DTI6302 F

Campus, IL · On-site

$239.47/hr

Machine Learning Operations Course Code: DTI6302 Section: B Course Description: Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

Aerotek

Machine Operator

Crystal Lake, IL

$18 - $20/hr

Contribute to cross-training efforts by learning multiple machines and processes based on ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Uottawa

APTPUO- Winter 2027 -DTI5125

Campus, IL · On-site

$239.47/hr

Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools. Posting limited to: Professeur a temps-partiel regulier / Regular Part-Time Professor ...

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 ...

University of Utah

Research Specialists

Campus, IL · On-site

$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 ...

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All JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Illinois

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
Client Solutions Manager

Client Solutions Manager

Meta

Chicago, IL • Remote

$87K/yr

Full-time

Posted 12 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 190 rated software companies

Job description

The Client Solutions Manager for Meta’s Global Business Group is a professional with proven experience in scoping, developing and implementing strategies and plans that increase impact, putting our customers at the core of everything we do. This is an opportunity to build and manage key client relationships, leverage analytical skills, and develop platform and product expertise to become a trusted consultant in media planning, strategy, and measurement for Meta's top advertisers. With a proven understanding of performance marketing, this role is responsible for partnering with the sales team to develop client relationships and drive revenue by negotiating and optimizing complex opportunities. Success in this position requires data and analytical skills that allow the individual to translate a business objective into an analysis framework, in order to provide data-driven consultative sales solutions data-driven consultative sales solutions.
Client Solutions Manager Responsibilities:
  • Act as a product & insights expert, in partnership with Client Partner, to identify and implement marketing solutions that drive measurable business results for our partners
  • Build and manage relationships with key clients and agency partners
  • Craft narratives and recommendations from custom analyses, build presentations, and present findings to business stakeholders
  • Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations
  • Serve as external product consultant educating clients and agencies on product solutions and best practices, and ultimately grow existing business partnership
  • Drive proactive media & measurement strategy, implementation, and optimizations to increase performance and investments
  • Oversee account operations (e.g. troubleshooting issues, account set up, etc.)
  • Work and collaborate with diverse group of internal cross-functional teams to project manage complex workstreams
  • Travel as needed

Minimum Qualifications:
  • Advanced experience structuring and manipulating raw data into datasets for analysis
  • Expertise analyzing data from a variety of different sources (quantitative and qualitative), presenting the data in a clear and concise manner, and developing actionable insights
  • Proven track record in leveraging data, developing insight-backed hypotheses and driving learning plans to build compelling business cases
  • Experience delivering insights to both technical and non-technical audiences
  • Experience working with diverse set of cross-functional teams
  • Experience influencing executive level clients
  • 5+ years of experience in online advertising/online media

Preferred Qualifications:
  • Knowledge and experience with data querying (e.g., SQL)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working cross-functionally with Product teams to improve product features and functionalities
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge of statistics and experience with statistical packages as R, SAS, SPSS
  • Experience with Meta’s full suite of advertising solutions
  • Experience with business case modeling and market/opportunity sizing

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$87,000/year to $131,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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