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Work From Home Full Stack Machine Learning Engineer Jobs in Chicago, IL

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Work in an entrepreneurial environment with a collaborative team. * Join a startup company with ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... Work in an entrepreneurial environment with a collaborative team. * Join a startup company with ...

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a ... full FPGA design life cycle, tool flow and network applications. - Familiarity with Secure IP and ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site +1

... full-stack software development, data warehousing, statistics, machine learning, artificial ... Produce and maintain required technical documentation associated with work product. * Understand ...

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Showing results 21-40

All JobsFull Stack Machine Learning Engineer JobsWork From Home Full Stack Machine Learning Engineer JobsWork From Home Full Stack Machine Learning Engineer Jobs in Chicago, IL

Work From Home Full Stack Machine Learning Engineer information

See Chicago, IL salary details

$45.8K

$138.8K

$196.2K

How much do work from home full stack machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for work from home 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 is the difference between Work From Home Full Stack Machine Learning Engineer vs Work From Home Data Scientist?

AspectWork From Home Full Stack Machine Learning EngineerWork From Home Data Scientist
Required CredentialsBachelor's/Master's in CS, ML certifications, programming skillsBachelor's/Master's in CS, statistics, data analysis certifications
Work EnvironmentRemote, collaborative teams, software development focusRemote, research-oriented, data analysis and visualization
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research firms

While both roles often work remotely and require strong technical skills, Full Stack Machine Learning Engineers focus on developing and deploying ML models within software systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles overlap but differ mainly in their core responsibilities and technical focus.

What are popular job titles related to Work From Home Full Stack Machine Learning Engineer jobs in Chicago, IL? For Work From Home Full Stack Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Work From Home Full Stack Machine Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Work From Home Full Stack Machine Learning Engineer jobs in Chicago, IL are:
Work From Home Full Stack Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Uber Technologies, Inc.

Chicago, IL • On-site, Remote

Full-time

Retirement

Posted 12 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber's proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber's mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms.

We are looking for a highly motivated Machine Learning Engineer to join Uber's Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity.

What You'll Do

This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected.

Basic Qualifications
 

  • 4+ years of experience developing ML models to solve business problem.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Familiar with modern AI/ML frameworks (e.g., PyTorch).

 Preferred Qualifications

  • Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical. 
  • Previous experience with state-of-the-art marketplace technology is preferred.
  • Experience with causal inference and constrained optimization

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Chicago, IL-based roles: The base salary range for this role is USD $182,000 per year - USD $202,000 per year.


For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

What Uber employees say

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