ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Naperville, IL

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · On-site

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126.20K - $166.40K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off‑sites * Equipment and learning budget to help you do your best work and keep up with ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126.20K - $166.40K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and offsites * Equipment and learning budget to help you do your best work and keep up with the ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126.20K - $166.40K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off-sites * Equipment and learning budget to help you do your best work and keep up with ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Naperville, IL

Machine Learning Engineer information

See Naperville, IL salary details

$31.5K

$128.6K

$193.2K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer in Naperville, IL is $128,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Naperville, IL? The most popular types of Machine Learning Engineer jobs in Naperville, IL are:
What are popular job titles related to Machine Learning Engineer jobs in Naperville, IL? For Machine Learning Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Naperville, IL look for? The top searched job categories for Machine Learning Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Machine Learning Engineer jobs? Cities near Naperville, IL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
AI/Machine Learning Engineer

AI/Machine Learning Engineer

Argonne National Laboratory

Lemont, IL • Hybrid

$94.49K - $147.40K/yr

Full-time

Posted 2 days ago

Job description

TheArgonne Leadership Computing Facility (ALCF) is looking for anAI/Machine Learning Software Engineer to help build, deploy, and scale production-quality AI services that support cutting-edge scientific discovery. This is a hands-on engineering role for someone who enjoys turning powerful ideas into robust, usable systems. You will help productize AI capabilities at ALCF by building software services, deployment pipelines, and operational infrastructure that make advanced AI tools accessible, reliable, and scalable for researchers. Your work will directly support scientific users working at the frontier of AI, high-performance computing, and data-driven discovery.

This is an opportunity to work at the frontier ofAI for science and the Department of Energy Genesis mission, where large-scale machine learning, scientific data, simulation, and leadership-class supercomputers come together to enable new modes of discovery. You will join the AI group - a highly collaborative, multidisciplinary environment and work alongside experts in AI, simulation, computer science, applied mathematics, and domain science.If you are excited by building real systems, improving developer workflows, deploying services at scale, and supporting mission-driven research, this is a unique opportunity to contribute to one of the world's leading computing environments.

In this role you can expect to:

  • Design, build, deploy, and maintainAI-enabled software servicesthat support scientific and operational use cases at ALCF
  • Build and improveCI/CD pipelines, automated testing workflows, and engineering processes for AI software and services
  • Support deployment and operations incontainerized and orchestration environments, includingKubernetes
  • Develop internal tools, APIs, and platform services that improve usability, access, and reproducibility for AI workflows
  • Conduct research and development aligned with Argonne's strategic mission in computation, AI, and scientific discovery.
  • Contribute to a team culture that values scientific excellence, collaboration, innovation, and inclusive professional growth.

This position qualifies as "Hybrid Remote Work - Mostly Onsite": which applies to employees regularly scheduled for some onsite and some remote days, with employees typically working up to 40% of their time remotely.

Position Requirements

Required Qualifications:

  • RD2: Bachelor's degree and 5+ years of experience, or Master's degree and 3+ years of experience, or PhD and 0+ years of experience, or equivalent experience
  • Educational background incomputer science, software engineering, computational science, or a related field
  • Experience designing, building, and maintainingproduction software systems
  • Strong programming skills in one or more languages such asPython, C, C++, Rust
  • Experience with one or more AI frameworks such as PyTorch and vLLM.
  • Experience building or maintainingCI/CD pipelinesand automated software delivery workflows
  • Good communication skills, both verbal and written.
  • Ability to model Argonne's core values ofimpact, safety, respect, integrity, and teamwork
Preferred Qualifications:
  • Experience withmodel serving, inference systems, or ML platform components
  • Experience withKubernetes operators, Helm, Argo, GitLab CI, GitHub Actions, or related tooling
  • Experience withcloud-native tools, infrastructure automation, or service observability
  • Experience withrunning AI workloads on large-scale systems
  • Experience withmulti-node or multi-accelerator execution and optimization.

Job Family

Research Development (RD)

Job Profile

Computer Science 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Apply