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Machine Learning Engineer From Home Jobs in Illinois

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Track and integrate advances from the ML research community to ensure technical excellence Required Qualifications: * Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

All communication regarding your application will come from official PayPal email domains. If you ... or your home workspace, ensuring that you equally have the benefits and conveniences of both ...

PayPal

Machine Learning Engineer

Chicago, IL

All communication regarding your application will come from official PayPal email domains. If you ... or your home workspace, ensuring that you equally have the benefits and conveniences of both ...

PayPal

Machine Learning Engineer

Chicago, IL

All communication regarding your application will come from official PayPal email domains. If you ... or your home workspace, ensuring that you equally have the benefits and conveniences of both ...

1872 Consulting

Machine Learning Engineer

Chicago, IL

Computer Vision Engineer As a Computer Vision Engineer, you will be part of our AI Team working on ... Hands-on experience applying machine learning and deep learning to vision data, preferably direct ...

IMC Inc

Hardware Machine Learning Engineer

Chicago, IL

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... This is an initiative where you'll have the rare opportunity to architect solutions from scratch ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer From Home JobsMachine Learning Engineer From Home Jobs in Illinois

Machine Learning Engineer From Home information

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in Illinois? The most popular types of Machine Learning Engineer jobs in Illinois are:
What are popular job titles related to Machine Learning Engineer From Home jobs in Illinois? For Machine Learning Engineer From Home jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer From Home jobs in Illinois look for? The top searched job categories for Machine Learning Engineer From Home jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Engineer From Home jobs? Cities in Illinois with the most Machine Learning Engineer From Home job openings:
Machine Learning Engineer From Home jobs near you

Machine Learning Engineer

Coinflow

Chicago, IL • On-site

$160K - $220K/yr

Full-time

Medical, Retirement

Posted 19 days ago

Job description

About Coinflow
Coinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.
Since our seed round in 2024, we've achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures-accelerating our mission to power the world's fastest-moving businesses with innovative, reliable global payments.
Coinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash.
Role Overview:
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform.
This is a zero-to-one role. You will be the first dedicated ML hire and will own how data and machine learning are developed and applied across Coinflow. You'll explore large-scale transaction and behavioral data, build models and analytical systems, define what success looks like, and embed intelligence directly into our products and internal tooling.
The ideal candidate is deeply curious, excited to experiment, and motivated by building something that does not yet exist.
Key Responsibilities:
  • Build and evolve machine learning models and analytical systems that support platform decisioning and product intelligence
  • Establish the foundation for data and machine learning practices across the company
  • Define, own, and evolve core metrics across platform health, performance, and risk
  • Explore transaction and behavioral data to uncover patterns, signals, and new insights
  • Partner closely with Engineering, Product, and Operations to turn open-ended problems into real systems
  • Design how models and data systems are evaluated, improved, and trusted over time
  • Build internal workflows and tooling that support operational and product teams
  • Help shape Coinflow's long-term data and machine learning roadmap

Required Qualifications:
  • 4+ years of experience in machine learning, applied data science, or production ML roles
  • Strong foundation in machine learning, statistics, and analytical problem solving
  • Experience building models or data-driven systems that operate in real products
  • Comfort working with ambiguous problems and creating structure where none exists
  • Strong communication skills and experience collaborating cross-functionally
  • High ownership mindset with genuine curiosity about messy, real-world data

Preferred Qualifications:
  • Experience building decisioning, optimization, fraud, risk, or other payments systems
  • Experience in fintech, payments, or other financial services environments
  • Experience as an early data/ML hire at a startup
  • Experience working with high-volume behavioral or financial data

What We Offer:
  • Competitive compensation including base salary, performance bonus, and meaningful ownership
  • Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company
  • Collaborative and innovative work environment with world-class investors
  • Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase

The base salary range for this role is $160,000 to $220,000 USD. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
In addition, the employee who fills this role will be eligible for an equity grant, allowing you to share in the long-term success of the company. You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off.
Join the team rewriting how money moves worldwide-and become a driving force in the $194 trillion cross-border payments market.

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