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Machine Learning Engineer Jobs in Rockford, IL (NOW HIRING)

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Python Tutor

Dekalb, IL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Senior Machinery Engineer

Beloit, WI · On-site

$99K - $136K/yr

... engineering support and SME recommendations for all rotating machinery and mechanical equipment utilized within the facilities in the area. Why Messer? Messer is the world's largest privately held ...

Machinist

Rockford, IL · On-site

$25 - $30/hr

Operate any single machine tool such as manual or CNC lathe/mills/machining centers and be able to ... Process work orders via SAP in a timely manner. * Assist manufacturing engineering in process ...

Linear Algebra Tutor

Dekalb, IL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Showing results 21-40

Machine Learning Engineer information

See Rockford, IL salary details

$29K

$118.4K

$178K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Rockford, IL is $118,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $142,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Rockford, IL?

The most popular types of Machine Learning Engineer jobs in Rockford, IL are:

What are popular job titles related to Machine Learning Engineer jobs in Rockford, IL?

For Machine Learning Engineer jobs in Rockford, IL, the most frequently searched job titles are:

What cities near Rockford, IL are hiring for Machine Learning Engineer jobs?

Cities near Rockford, IL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Rockford, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $118,426 per year, or $56.9 per hour.

Critical Facility Engineer

Meta

Dekalb, IL

$88K/yr

Full-time

Re-posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies


Job description

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers.
Critical Facility Engineer Responsibilities:
  • Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business
  • Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
  • Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training
  • Provides technical expertise and assistance as required
  • Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies
  • Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults
  • Troubleshoot, evaluate and recommend system upgrades
  • Order parts and supplies for maintenance and repairs
  • Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards
  • Escalate issues to facility management appropriately and timely
  • Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service
  • Provide recommendation of improvements to the operations and maintenance program on an on-going basis
  • Required to work on a shift schedule, which may include nights and holidays
  • Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources

Minimum Qualifications:
  • 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience
  • Use hands and fingers
  • Reach/push/pull with arms/hands/shoulders
  • Stoop, kneel, crouch and crawl
  • Lift and/or otherwise move 45 pounds or more
  • Sit or stand at a workstation for extended periods of time
  • The candidate will need to be experienced in a broad range of industries such as electrical generation, electrical distribution, cooling technologies, building control and fire protection systems

Preferred Qualifications:
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$88,005/year to $124,010/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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