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Junior Machine Learning Engineer Jobs in Bloomington, IL

... and learning curve simplification, using material handling, manufacturing and industrial ... Manages capital projects/oversees installation of equipment and machinery. * Assists employee teams ...

... and learning curve simplification, using material handling, manufacturing and industrial ... Manages capital projects/oversees installation of equipment and machinery. * Assists employee teams ...

Lead Data Scientist

Morton, IL · On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

STEM Facilitator

Normal, IL · On-site

$21.03/hr

... engineering, or mathematics) learning experiences for K-12 students and adult audiences at HCC ... Experience working with middle school and/or junior high school students. * Experience with virtual ...

Statics Tutor

Normal, IL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

POSITION SUMMARY: * Lead Maintenance Team driving excellence in Safety, Machine/Equipment ... Collaborate with corporate engineers, suppliers, contractors, and plant partners to ensure customer ...

Showing results 21-40

Junior Machine Learning Engineer information

See Bloomington, IL salary details

$32.1K

$68.9K

$105K

How much do junior machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for junior machine learning engineer in Bloomington, IL is $68,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $76,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What job categories do people searching Junior Machine Learning Engineer jobs in Bloomington, IL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Bloomington, IL are:
What cities near Bloomington, IL are hiring for Junior Machine Learning Engineer jobs? Cities near Bloomington, IL with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Bloomington, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $68,872 per year, or $33.1 per hour.

Lead Software Engineer - Platform Engineering

State Farm

Bloomington, IL • On-site

$110 - $160/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,552 frontline employees who took The Breakroom Quiz

234th of 304 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most.

HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment. Hybrid work arrangement for Enterprise Technology is defined as residing within a 180-mile radius of the Hubs and Corporate.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

SPONSORSHIP: Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B visa) for this opportunity.

Grow Your Skills, Grow Your Potential Responsibilities

The Infrastructure, Workplace, and Technology Services (IWTS) Infrastructure as a Service (IaaS) Engineering team works across a large breadth of technologies allowing a unique learning opportunity amongst the team. IWTS Engineering teams have the freedom to focuson hands‑on prototyping, research efforts, and Proof of Concepts (POCs) without day‑to‑day support obligations. IWTS Engineering teams are responsible for collaborating with ET product teams to understand and evaluate technical requirements that may result in infrastructure offering modifications. IWTS Engineering teams will work closely with the IWTS Service Delivery teams and a Managed Service Provider (MSP) to evaluate and validate proposed technical solutions and changes. IWTS Engineering teams will work closely with IWTS Area Level Architecture to identify areas of improvement, changes to architectural standards, and future state capability strategies. Additionally, IWTS Engineering teams work with the Project Support Office (PSO) as technical resources in validation of project estimates and requirements or as technical resources on defined projects. This position is focused on IaaS Engineering with a specialty in platform engineering, Virtual Machine (VM) provisioning, and Infrastructure as Code(IaC)/automation. There are several opportunities within the team to expand knowledge to other IaaS technologies and influence future infrastructure designs. As a member of the IWTS IaaS Engineering team, you will be challenged and empowered to grow professionally. We appreciate your interest in this role.

Qualifications

Required:

  • Proficiency in one or more programming languages (e.g., Go, Python).
  • Proficiency with containerization and container orchestration technologies (e.g., Docker, Kubernetes).
  • Proficiency with Git and modern version control practices.
  • Proficiency in designing and developing APIs.
  • Intermediate knowledge of infrastructure concepts/design.
  • Demonstrated ability to work independently as a results-driven self-starter with a passion for research, hands‑on proof‑of‑concept development, and continuous learning.
  • Ability to identify technical challenges, evaluate options, and independently develop innovative solutions.
  • Mentor engineers and contribute to technical direction, platform standards, and continuous improvement.
  • Strong analytical, problem‑solving, and troubleshooting skills, with the ability to diagnose and resolve complex software and infrastructure issues.
  • Excellent collaboration and communication skills, including the ability to work effectively across teams, document research findings/proof‑of‑concept results/ architectural decisions, and showcase technical solutions to a variety of audiences.
  • Ability to build and maintain productive relationships with vendors and external technology partners.
  • Ability to represent State Farm professionally at industry conferences, technical events, and other external engagements.

Preferred:

  • Understanding of platform engineering principals and objectives.
  • Understanding of server virtualization concepts
  • Understanding of monitoring, observability, reporting, and logging tools to support system performance, reliability, and availability.
  • Proficiency in developing, maintaining, and utilizing GitOps.
  • Working knowledge of security principles, governance, risk management, and compliance processes.
  • Demonstrated ability to foster innovation, encourage diverse perspectives, and incorporate new ideas into technical solutions and team practices.
  • Relevant industry certifications in infrastructure, cloud platforms, virtualization, or related technical disciplines.
Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $110,000 - $160,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in‑network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top‑notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
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