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Work Study Audio Machine Learning Jobs in Chicago, IL

Machine Learning Lead

Chicago, IL · On-site

$175K - $235K/yr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Collaborative and innovative work environment with world-class investors * Direct impact on core ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from ...

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Together, our values ensure that we work together as one global team with our customers at the ... Develop and optimize machine learning models for various applications. * Preprocess and analyze ...

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

Together, our values ensure that we work together as one global team with our customers at the ... Develop and optimize machine learning models for various applications. * Preprocess and analyze ...

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Minimum Requirements Must be authorized to work in the U.S. now and in the future. 1+ years of ...

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Ability and desire to work in a collaborative team environment * Excellent written and verbal ...

Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from ... Understanding of machine learning fundamentals - neural network architectures, inference ...

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Showing results 1-20

Work Study Audio Machine Learning information

See Chicago, IL salary details

$30.4K

$87K

$176.7K

How much do work study audio machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for work study audio machine learning in Chicago, IL is $87,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $116,400.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Audio Machine Learning jobs in Chicago, IL? The most popular types of Audio Machine Learning jobs in Chicago, IL are:

Machine Learning Lead

Coinflow

Chicago, IL • On-site

$175K - $235K/yr

Full-time

Medical, Retirement

Re-posted 18 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 Lead to own the fraud and risk intelligence layer at the core of our platform.
This is a founding ML role. You'll lead our first dedicated ML team, building capabilities that combine our first-party transaction data with partner signals to optimize approval rates across payment methods and geographies, sharpen risk decisioning during merchant underwriting, and improve fraud detection across global payment methods. That means digging into large-scale transaction and behavioral data, shipping production fraud models, defining what good looks like, and continuously raising the bar on detection and precision as our volume and merchant base scale.
The ideal candidate has hands-on experience building fraud models on the acquiring side of payments and working alongside external fraud vendors to tackle card-present or card-not-present fraud, authorization decisioning, chargeback reduction, and related risk systems.
Key Responsibilities
  • Strengthen Coinflow's fraud detection and risk decisioning capabilities - feature engineering, model development, and production deployment
  • Own the full model lifecycle: experimentation, evaluation, monitoring, and iteration
  • Define and track core fraud and risk metrics - detection rate, false positive rate, chargeback rate, dispute win rate - and continuously improve them
  • Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns
  • Partner with Engineering, Product, and Operations to embed fraud intelligence directly into payment flows and internal tooling
  • Integrate and orchestrate external fraud/risk partners, getting maximum value from their tooling
  • Establish the foundation for ML and data practices across the company
  • Help shape Coinflow's long-term fraud, risk, and ML roadmap
Required Qualifications
  • 5+ years in machine learning, applied data science, or production ML roles
  • Demonstrated experience building fraud models in payments, with direct exposure to the acquiring side - acquirer, PSP, or payment facilitator
  • Proven track record taking ML projects from proof-of-concept to fully deployed, productionized systems
  • Deep familiarity with acquiring-side fraud dynamics: authorization fraud, card-not-present fraud, friendly fraud, chargeback patterns, and merchant risk
  • Strong foundation in ML, statistics, and feature engineering on high-volume financial data
  • Comfortable owning ambiguous problems end-to-end and creating structure where none exists
  • Strong collaborator across Engineering, Product, and Ops
Preferred Qualifications
  • Experience at an acquirer, ISO, PayFac, or payments infrastructure company
  • Experience developing, managing, and scaling MLOps pipelines and monitoring systems (retraining schedules, real-time performance metrics)
  • Experience scoping cloud compute requirements for scalable ML workloads
  • Familiarity with card network rules, dispute/chargeback workflows, and fraud liability frameworks
  • Experience as an early or sole ML hire at a startup
  • Exposure to real-time or near-real-time fraud scoring systems
  • Experience with stablecoin, crypto, or alternative payment rails

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 hyper growth phase

The base salary range for this role is $175,000 to $235,000 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.