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Machine Learning Developer Jobs in Illinois (NOW HIRING)

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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 ...

Machine Learning Engineer

Niles, IL ยท On-site

$53 - $72.75/hr

Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...

Senior Machine Learning Engineer

Chicago, IL

$107K - $147K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

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Machine Learning Developer information

See Illinois salary details

$17

$37

$50

How much do machine learning developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for machine learning developer in Illinois is $37.23, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $50.34 per hour, depending on experience, location, and employer.

What does a Machine Learning Developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

Is ML a high paying job?

Machine Learning Developer roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.

What engineers make $500,000?

Senior machine learning developers and AI engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, or equity compensation.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

What are some common challenges faced by Machine Learning Developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

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

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

Which 3 jobs will survive AI?

For a Machine Learning Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and domain-specific experts. These jobs involve understanding context, ethical considerations, and nuanced decision-making that AI cannot fully replicate. Continuous learning and expertise in specialized tools like TensorFlow or PyTorch enhance job security in this field.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Zocdoc

Chicago, IL โ€ข On-site

Full-time

Medical, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms

We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will build scalable products to improve the healthcare search experience for patients and providers. You will balance your contributions as an applied Machine Learning Engineer with mentorship responsibilities.

Responsibilities
  • Contribute to the end-to-end development of search algorithms and ML models.
  • Implement ML Ops and CI/CD best practices.
  • Collaborate with other teams to incorporate features within Search.
  • Ship efficient and scalable code to millions of users.
  • Partner with product and design teams to develop product improvements.
  • Mentor other engineers.
  • Work with GenAI tools and technology.
Requirements
  • Passion for building and productionizing large-scale consumer-facing ML models.
  • Solid understanding of machine learning techniques.
  • Understanding of consumer-facing experiment design.
  • Passion for technology and the ability to think critically about software performance, scalability, and reliability.
  • Experience building data platforms with the latest technologies.
  • Experience implementing software solutions using object-oriented or functional languages (e.g., Scala, Spark, Databricks, Python, React, C#, Node.js).
  • Experience designing, building, and shipping applications that scale.
  • 7+ years of professional development experience (Data teams experience is a plus).
  • Experience mentoring other engineers.
  • Computer Science or related degree (preferred).
Benefits
  • Flexible, hybrid work environment.
  • Unlimited Vacation.
  • 100% paid employee health benefit options.
  • Commuter Benefits.
  • 401(k) with employer-funded match.
  • Corporate wellness programs with Headspace and Peloton.
  • Sabbatical leave (for employees with 5+ years of service).
  • Competitive paid parental leave and fertility/family planning reimbursement.
  • Cell phone reimbursement.
  • Catered lunch every day along with beverages and snacks.
  • Employee Resource Groups and ZocClubs.
  • Great Place to Work Certified.
How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

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About ZocDoc

Sourced by ZipRecruiter

Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences, and contributors make our community and our platform better. We're an equal-opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Industry

Internet websites and web search portals

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

2007