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Machine Learning Manager Jobs in Oakbrook Terrace, IL

Coinflow

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 ... Experience developing, managing, and scaling MLOps pipelines and monitoring systems (retraining ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Develop and optimize machine learning models for various applications. * Preprocess and analyze ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Develop and optimize machine learning models for various applications. * Preprocess and analyze ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying ... Prior people management experience preferred * Ability and desire to work in a collaborative team ...

PayPal

Staff Machine Learning Engineer

Chicago, IL · Hybrid

$169K - $291K/yr

... management, and cross-border capabilities. We value Inclusion, Innovation, Collaboration, and ... Lead the development and optimization of advanced machine learning models. * Oversee the ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Oakbrook Terrace, IL

Machine Learning Manager information

See Oakbrook Terrace, IL salary details

$51.3K

$82.2K

$118.7K

How much do machine learning manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning manager in Oakbrook Terrace, IL is $82,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $93,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are popular job titles related to Machine Learning Manager jobs in Oakbrook Terrace, IL? For Machine Learning Manager jobs in Oakbrook Terrace, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Oakbrook Terrace, IL look for? The top searched job categories for Machine Learning Manager jobs in Oakbrook Terrace, IL are:
What cities near Oakbrook Terrace, IL are hiring for Machine Learning Manager jobs? Cities near Oakbrook Terrace, IL with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you

Machine Learning Lead

Coinflow

Chicago, IL • On-site

$175K - $235K/yr

Full-time

Medical, Retirement

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.

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