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Remote Machine Learning Jobs in Illinois (NOW HIRING)

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

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Remote Machine Learning information

See Illinois salary details

$24.7K

$41.3K

$85.3K

How much do remote machine learning jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote machine learning in Illinois is $41,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Illinois? The most popular types of Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Remote Machine Learning jobs? Cities in Illinois with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,265 per year, or $19.8 per hour.
AI Engineer

AI Engineer

OneStream

Chicago, IL • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

AI Engineer

Location:  Hybrid, United States 

Employment Type: Full-Time 

Benefits Offered: Vision, Medical, Life, Dental, 401K 

Gross Annual Base Salary: USD 95,000 - 133,000

Additional variable compensation and benefits may apply. Total compensation is based on experience, skills, and location using objective, job-related criteria.

This role requires the candidate to work from one of the following OneStream office locations: Birmingham, MI, Fort Lauderdale, FL, New York, NY, or Chicago, IL. 

Summary  

As an AI Engineer you will be a critical member in executing our AI initiatives within the OneStream platform.

The AI Product and Engineering team is focused on bridging the gap between AI research and AI products, bringing tangible and quantifiable value to our end users. Our AI solutions incorporate applications across the AI and machine learning spectrum, including (but not limited to) time series forecasting, anomaly detection, and natural language processing. Our mission is to lower the barrier for organizations and people to get value out of AI capabilities.

Primary Duties and Responsibilities 

  • Design and develop scalable, high-performance applications and services using a variety of software architecture design patterns.
  • Implement robust AI systems and functionalities, ensuring optimal performance and scalability.
  • Troubleshoot and debug issues across the full stack, from the user interface to the database layer to ensure the reliability of releases.
  • Participate and eventually lead technical design sessions to decompose and design complex systems and interfaces.
  • Collaborate with cross-functional teams to ensure technical and user requirements are met.
  • Must be a self-starter, continuously be learning both best code practices and the latest technologies in the AI ecosystem.

Required Education and Experience 

  • Bachelors Degree or similar work experience.
  • CS/DS/EE/CE Degree or similar experience.
  • 1-3 years of experience building and deploying production-level machine learning solutions or similar experience.
  • 1-3 years of strong programming experience with one of the following: Python, C++, C, CSharp, Java, Rust, or Go (or similar experience).

    Preferred Education and Experience 

    • Experience with webservices and API frameworks (Flask, FastAPI, etc.).
    • Knowledge of distributed systems and cloud-based computing (Azure).

    Knowledge, Skills, and Abilities 

    • Self-Starter to decompose a problem and plan a solution.
    • Ability to quickly learn new technologies and adapt to changes in technology and the business environment.
    • Highly adaptive to changing circumstances, with the ability to tackle problems quickly.
    • Excellent written and verbal interpersonal skills.
    • Excellent organization, scheduling, project management and multi-tasking skills.
    • Ability to write clean, efficient, and well-documented code.
    • Interest in continuous learning opportunities as the AI landscape continues to evolve.
    • Capable and comfortable effectively presenting in front of your peers.
    • Proficient in effectively prioritizing and executing tasks in fast-paced, high-pressure environments.
    • Highly self-motivated and proactive.
    • Demonstrates meticulous attention to detail.
    • Comfortable engaging and presenting to C-level executives from time to time.

    Who We Are 

    OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further™ by steering the business to the future. It’s the only enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution. Our vision is to be the operating system for modern finance, digitizing core financial functions and empowering the CFO to become a critical driver of business strategy. To learn more visit www.onestream.com. 

    Why Join The OneStream Team 

    • Transparency around corporate structure, salary, and benefits. 
    • Core value of customer success. 
    • Variety of project work (not industry-specific). 
    • Strong culture andcamaraderie. 
    • Multiple training opportunities. 

    Benefits at OneStream

    OneStream employees are passionate, hardworking individuals who go above and beyond to keep our customers happy and follow through on our mission statement. They consistently deliver the best and in turn, we make every effort to keep them cared for and happy. A sample of the benefits we provide are: 

    • Excellent Medical Plan. 
    • Dental & Vision Insurance. 
    • Life Insurance. 
    • Short & Long Term Disability. 
    • Vacation Time. 
    • Paid Holidays. 
    • Professional Development. 
    • Retirement Plan. 

    All candidates must be legally authorized to work for any company in the country where this position is located without sponsorship. 

    OneStream is an Equal Opportunity Employer. 

    #LI-REMOTE #LI-JP1