2

Remote Full Stack Machine Learning Engineer Jobs in Chicago, IL

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence ...

Sr. Machine Learning Engineer

Chicago, IL ยท Remote

$107.60K - $147.80K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Full Stack Software Engineer

Chicago, IL ยท Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ...

Software Engineer

Joliet, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DevOps Engineer

Naperville, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DevOps Engineer

Chicago, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Job Summary:Full-stack engineer with experience designing, developing, and implementing highly ... Demonstrates deep understanding of browser rendering and the DOM. #LI-PG1#LI-REMOTE Qualifications:

DevOps Engineer

Aurora, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Engineer

Aurora, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DevOps Engineer

Elgin, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Engineer

Chicago, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Software Engineer

Elgin, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DevOps Engineer

Joliet, IL ยท Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

next page

Showing results 1-20

Remote Full Stack Machine Learning Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

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

As of May 30, 2026, the average yearly pay for remote full stack machine learning engineer in Chicago, IL is $138,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $162,800.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of Full Stack Machine Learning Engineer jobs in Chicago, IL? The most popular types of Full Stack Machine Learning Engineer jobs in Chicago, IL are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Chicago, IL with the most Remote Full Stack Machine Learning Engineer job openings:
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Strata Decision Technology

Chicago, IL โ€ข On-site, Remote

$117K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

How You'll Make an Impact
As an Applied Machine Learning Engineer, you will collaborate with architects, data scientists, agentic AI developers, platform engineers, and the product team to build advanced AI and ML capabilities into our platform. Your work will drive innovation in generative AI and beyond, integrating and customizing a wide range of machine learning techniques to solve complex problems in healthcare. By developing next-generation AI agents, algorithms, and computation engines, you will help Strata strengthen its market leadership, improve operational efficiency, and support healthcare providers in delivering high-quality care while maintaining financial health.
A Day in the Life
  • Read and translate the latest research (e.g., arXiv papers) into production-ready solutions in Python.
  • Prototype and iterate on machine learning models, focusing on areas such as regression, causal inference, optimization, and vector embeddings.
  • Collaborate with cross-functional teams to embed ML and AI capabilities directly into our software platform.
  • Partner with data scientists to design experiments and apply statistical concepts to real-world data.
  • Optimize, test, and scale ML models to support mission-critical healthcare analytics.

Our Technology Stack
Our core platform is used by more than half of the nation's leading healthcare providers, enabling them to leverage financial, operational, and clinical data. Our AI and ML stack includes:
  • Languages & Libraries: Python, PyTorch, NumPy, Pandas, Polars, PyMC
  • Infrastructure: AWS, Snowflake, Docker, GitHub
  • Techniques & Tools:
    • Regression (with and without Bayesian priors)
    • Vector embeddings, similarity, clustering
    • Core statistics and distributions for EDA
    • Optimization methods (multi-armed bandit, mixed integer programming)
    • Causal inference and probabilistic modeling

What We're Looking For
We're seeking a technically curious engineer who thrives on turning theory into practice. The ideal candidate has:
  • Strong experience implementing ML models in Python.
  • Familiarity with regression, embeddings, causal inference, and optimization techniques.
  • Experience applying statistical methods to exploratory data analysis.
  • Comfort working with modern ML libraries and frameworks.

Bonus points if you have worked with:
  • NLP tasks (LLMs, spaCy, neural networks).
  • Recommender systems, latent factors, matrix factorization.
  • Graph algorithms.
  • Claude Code, Docker, and GitHub.ess computation engine.

Estimated Salary Range: $117,000-150,000Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.
Find out more about Strata benefits here.
How we work:Our preferred location for open roles is Chicago, IL. We value in-person connection and regularly host on-campus events to create meaningful opportunities for our team to build relationships and collaborate
Thinking about applying?
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you're currently reading this and hesitating to click "Apply" for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to careers@stratadecision.com.
Here @ Strata...
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.
We believe that each of our team member's unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.
Our Core Values:While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.
  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.