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Temporary Meta Machine Learning Jobs in Chicago, IL

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/yr

Prepare and analyze data for use in machine learning algorithms. Assist in evaluating and ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

A Supportive Team: Work in an environment where continuous learning is encouraged, and your ... Conducts regular maintenance on machines to uphold safety, quality, and environmental standards.

New

Finisher

West Chicago, IL · On-site

$19.50 - $20/hr

Finisher / Machine Operator This role combines machine operation and finishing work in a ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

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Temporary Meta Machine Learning information

See Chicago, IL salary details

$14

$23

$31

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

As of May 29, 2026, the average hourly pay for temporary meta machine learning in Chicago, IL is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $26.25 per hour, depending on experience, location, and employer.

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 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 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 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 Chicago, IL? The most popular types of Meta Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Chicago, IL? For Temporary Meta Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Chicago, IL look for? The top searched job categories for Temporary Meta Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Temporary Meta Machine Learning jobs? Cities near Chicago, IL with the most Temporary Meta Machine Learning job openings:
Data Engineer Associate - Contract

Data Engineer Associate - Contract

Gallagher

Rolling Meadows, IL • Remote

$115.20K - $138.30K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Arthur J. Gallagher & Co. rating

7.7

Company rating: 7.7 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

174th of 259 rated insurance


Job description

Introduction
Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

Overview

Overview

The Associate Data Engineer reports to the Data Engineering Lead and supports the development and ongoing operation of enterprise data integrations and pipelines across Gallagher. This role partners with data engineers, data scientists, analysts, and application teams to deliver reliable, secure, and well-documented data solutions that enable analytics and product initiatives.

Please note additional position details below:

  • This is a Temp-To-Hire, W-2 position.  We are not able to do 1099 or C2C.
  • It is a fully remote role that will need to be based in the U.S. 
  • You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description.

How you'll make an impact

How you'll make an impact

  • Develop integration workflows, to make sure the solutions are built accurately and according to spec.
  • Develop and maintain requirements, design documentation, and test plans.
  • Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery.
  • Coordinate with BI Engineers, Financial Applications, and Oracle HR teams around data management, reconciliation, test data setup, etc.
  • Develop and maintain data pipelines to ingest data from a wide variety of data sources (structured and unstructured) into Snowflake.
  • Construct and maintain enterprise-level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server.
  • Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
  • Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Assist with building Semantic Views, and Agents using Cortex AI Functions in Snowflake to support deep learning and interactive user queries.
  • Troubleshoot issues, helping to drive root-cause analysis, and work with infrastructure teams to resolve incidents and arrive at a permanent resolution.
  • Partner with data and analytics teams to strive for greater functionality in our data systems.
  • Coordination for development and support with globally located resources.
  • Understand the layout and working of existing integrations that send and receive data between Oracle, Concur, JDE, Corporate Data Platform, and other systems.

About You

About you

Required:

  • A relevant technical BS Degree with 2+ years of experience or Master’s Degree in Information Technology, Data Science, Computer Engineering or related.
  • 1+ years of writing SQL queries against any RDBMS with query optimization
  • 1+ years of experience leveraging technologies such as Snowflake, Azure Data Factory, and SQL Server.
  • Strong experience with Python, Java, and XML.
  • Familiarity with structuring a Data Lake for reliability, security, and performance
  • Familiarity with Medallion architecture, AI frameworks, and AI data readiness, Machine learning algorithms.
  • Skills to read and write effective, modular, dynamic, parameterized, and robust code, and establish and follow already established code standards.
  • Strong analytical, problem-solving, and troubleshooting abilities
  • Good understanding of unit testing, software change management, and software release management.
  • Knowledge of Dev-Ops, ML-Ops and AI-Ops processes.
  • Experience performing root cause analysis on data and processes to answer specific business questions, and identify opportunities for improvement.
  • Experience working within an agile team is preferred.
  • Excellent communication skills

#LI-NJ1

#Contingent

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Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. 

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

We value inclusion and diversity

Click Here to review our U.S. Eligibility Requirements

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

Qualifications:

About you

Required:

  • A relevant technical BS Degree with 2+ years of experience or Master’s Degree in Information Technology, Data Science, Computer Engineering or related.
  • 1+ years of writing SQL queries against any RDBMS with query optimization
  • 1+ years of experience leveraging technologies such as Snowflake, Azure Data Factory, and SQL Server.
  • Strong experience with Python, Java, and XML.
  • Familiarity with structuring a Data Lake for reliability, security, and performance
  • Familiarity with Medallion architecture, AI frameworks, and AI data readiness, Machine learning algorithms.
  • Skills to read and write effective, modular, dynamic, parameterized, and robust code, and establish and follow already established code standards.
  • Strong analytical, problem-solving, and troubleshooting abilities
  • Good understanding of unit testing, software change management, and software release management.
  • Knowledge of Dev-Ops, ML-Ops and AI-Ops processes.
  • Experience performing root cause analysis on data and processes to answer specific business questions, and identify opportunities for improvement.
  • Experience working within an agile team is preferred.
  • Excellent communication skills

#LI-NJ1

#Contingent

#APintegration

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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