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Director Graduate Machine Learning Jobs in Chicago, IL

Coin Flow

Machine Learning Engineer

Chicago, IL

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase The ...

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 ... Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase The ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

Ontrac Solutions LLC

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL

$70 - $90/hr

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

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All JobsGraduate Machine Learning JobsDirector Graduate Machine Learning JobsDirector Graduate Machine Learning Jobs in Chicago, IL

Director Graduate Machine Learning information

See Chicago, IL salary details

$61.8K

$106.8K

$168.4K

How much do director graduate machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for director graduate machine learning in Chicago, IL is $106,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $122,100.00 per year, depending on experience, location, and employer.

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What are the most commonly searched types of Graduate Machine Learning jobs in Chicago, IL? The most popular types of Graduate Machine Learning jobs in Chicago, IL are:
Director Graduate Machine Learning jobs near you

Machine Learning Engineer

Coin Flow

Chicago, IL

$160K - $220K/yr

Other

Medical, Retirement

Posted 15 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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