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Director Machine Learning Jobs in Chicago, IL (NOW HIRING)

Machine Learning Engineer

Chicago, IL ยท 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 ...

Machine Learning Lead

Chicago, IL ยท On-site

$160K - $220K/yr

Machine Learning Engineer Coinflow is the next-generation payment service provider revolutionizing ... Direct impact on core risk infrastructure and company trajectory during a hypergrowth phase The ...

Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch * Excellent verbal and written ...

Machine Learning Lead

Chicago, IL ยท On-site

$175K - $235K/yr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Demonstrated experience building fraud models in payments, with direct exposure to the acquiring ...

Machine Learning Engineer

Niles, IL ยท On-site

$53 - $72.75/hr

... machine learning models * Deploy and manage ML models in production environments using ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

Machine Learning Engineer

Niles, IL ยท On-site

$53 - $72.75/hr

... machine learning models * Deploy and manage ML models in production environments using ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Direct impact on trading - Your infrastructure will power models that make real trading decisions ...

Principal Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Direct impact on trading - Your infrastructure will power models that make real trading decisions ...

Principal Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $250K/yr

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Direct impact on trading - Your infrastructure will power models that make real trading decisions ...

Senior Machine Learning Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

Our client is looking to bring on a Senior Machine Learning Engineer to help build and scale a ... In addition to base pay, direct-hire employees may be eligible for client offered benefits such as ...

Senior Machine Learning Engineer (LLMs)

Chicago, IL ยท On-site

$126K - $166K/yr

Direct collaboration with a small team of smart, kind, motivated engineers * An environment that ... Equipment and learning budget to help you do your best work and keep up with the frontier

Senior Machine Learning Engineer (LLMs)

Chicago, IL ยท On-site

$126K - $166K/yr

Direct collaboration with a small team of smart, kind, motivated engineers * An environment that ... Equipment and learning budget to help you do your best work and keep up with the frontier

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Director Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

How much do director machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for director machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Chicago, IL? The most popular types of Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Director Machine Learning jobs? Cities near Chicago, IL with the most Director Machine Learning job openings:

Machine Learning Engineer

Coin Flow

Chicago, IL โ€ข On-site

$160K - $220K/yr

Other

Medical, Retirement

Posted 2 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.