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Remote Full Stack Machine Learning Engineer Jobs in Calumet City, IL

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... Troubleshoot and debug issues across the full stack, from the user interface to the database layer ...

AI/ML

Chicago, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Machine Learning Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Join our remote-first culture as the Technical Lead, a critical, hands-on role where you will serve ... Engineering Excellence : Drive the adoption of modern industry best practices, including AI ...

... full-stack platform using Django, PostgreSQL, and React. This hands-on, high impact and fully ... Fully remote role that has a large business impact. How You'll Contribute * Design and maintain ...

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Remote Full Stack Machine Learning Engineer information

See Calumet City, IL salary details

$42.2K

$127.9K

$180.8K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote full stack machine learning engineer in Calumet City, IL is $127,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Calumet City, IL look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Calumet City, IL are:
What cities near Calumet City, IL are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Calumet City, IL with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Calumet City, IL as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $127,891 per year, or $61.5 per hour.
Options Trading Quantitative Researcher - Work From Home

Options Trading Quantitative Researcher - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life

Re-posted 20 days ago


Job description

Options Trading Quantitative Researcher - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our options trading team. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development. The ideal candidate will be responsible for designing, developing, and enhancing Python data science tools and frameworks. This includes conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Options Trading Quantitative Researcher Qualifications:
- Bachelor's degree in mathematics, physics, computer science, or a related quantitative field.
- 2+ years of relevant work experience.
- Experience conducting and applying quantitative research to options trading.
- Experience integrating alpha signal research into options trading systems.
- In depth understanding of options pricing and volatility modelling.
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
Keywords: Chicago IL Jobs, Options Trading Quantitative Researcher, Options Trading, Quantitative Researcher, Python, C++, TDD, CI/CD, Distributed Computing, Linux Stack, Machine Learning, Quantitative Research, Quant, Alpha Signal Research, Options Pricing, Volatility Modelling, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Options Trading Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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