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

Sr. Series Engineer, Powertrain

Normal, IL · On-site

$98.50K - $123.10K/yr

Role Summary In this position, you will be the liaison between Driveline Product Development and Manufacturing Engineering for Driveline Production lines and the general assembly of our electric ...

Role Summary In this position, you will be the liaison between Driveline Product Development and Manufacturing Engineering for Driveline Production lines and the general assembly of our electric ...

Sr. Series Engineer, Powertrain

Normal, IL · On-site

$98.50K - $123.10K/yr

Role Summary In this position, you will be the liaison between Driveline Product Development and Manufacturing Engineering for Driveline Production lines and the general assembly of our electric ...

Lead Infrastructure Engineer

Bloomington, IL · On-site

$97.50K - $128.50K/yr

Go programming language - API, CLI development * Terraform * CD/CI best practices (experience w/Gitlab) * Entra ID - OIDC/OAuth2 * Shell scripting * Knowledge in enterprise application development is ...

Senior Endpoint Engineer (R&D Specialist)

Texas, IL · Hybrid

$94.30K - $129.40K/yr

The engineer will also lead Tier 3/4 support efforts, drive endpoint automation and modernization initiatives, and provide technical leadership in support of RMF and Zero Trust alignment. KEY ...

Lead Infrastructure Engineer

Bloomington, IL · Hybrid

$97.50K - $128.50K/yr

Go programming language - API, CLI development * Terraform * CD/CI best practices (experience w/Gitlab) * Entra ID - OIDC/OAuth2 * Shell scripting * Knowledge in enterprise application development is ...

Senior Software Engineer

Bloomington, IL · On-site

$116.60K - $153.70K/yr

As a Senior Software Engineer, you will work with a small self-directed team focused on building full-stack software solutions to meet corporate and client needs. You will identify, implement ...

Sr. Software Engineer, Enterprise Technology

Normal, IL · On-site

$119.80K - $157.90K/yr

They are seeking a Senior Software Engineer to join their Enterprise Software team, responsible for building scalable cloud-native applications that support Rivian's supply chain, manufacturing, and ...

RN - Intensive Care Unit

Normal, IL · On-site

$33.32 - $57.31/hr

Equipment: IV pump, SCD machine, ventilator, balloon pump, dialysis machines, bedside monitors ... Identifies own learning needs and takes initiative to begin appropriate solution.Fulfills all ...

RN - Intensive Care Unit

Normal, IL · On-site

$33.32 - $57.31/hr

Equipment: IV pump, SCD machine, ventilator, balloon pump, dialysis machines, bedside monitors ... Identifies own learning needs and takes initiative to begin appropriate solution.Fulfills all ...

Equipment: IV pump, SCD machine, ventilator, balloon pump, dialysis machines, bedside monitors ... Identifies own learning needs and takes initiative to begin appropriate solution. Fulfills all ...

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Showing results 1-20

Machine Learning Engineer information

See Normal, IL salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Normal, IL is $125,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $151,500.00 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.

What cities near Normal, IL are hiring for Machine Learning Engineer jobs? Cities near Normal, IL with the most Machine Learning Engineer job openings:
Staff Manufacturing Engineer - Dimensional

Staff Manufacturing Engineer - Dimensional

Rivian

Normal, IL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Rivian rating

7.4

Company rating: 7.4 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 


Role Summary

As a Staff Engineer- Manufacturing Engineering – Dimensional, you will create geometric dimensions and tolerances, analyze them via design variation analysis tools, provide feedback and set GD&T and tolerancing requirements to product design, and be a key technical leader for the team responsible for developing the dimensional strategy for Rivian’s new products. This includes helping to develop the assembly process for Body Structure, Drive Unit, and General Assembly working cross-functionally with Manufacturing Engineers, Design Release Engineers, and Supplier Development Engineers to ensure successful product launches at Normal, IL and our new greenfield facility in East Atlanta, GA, as well as overseeing Design Validation Builds in the metro Detroit area. This role is located at our Normal, IL facility are reports directly to a Sr. Manager, Manufacturing Engineering.  


Responsibilities

Strategy and Development 

  • Contribute to the creation and implementation of best dimensional practice for process, vision, strategy, policies, processes and procedures to aid and improve dimensional accuracy 
  • Contribute to new business initiatives and projects and review and communicate the impact on quality activities 

General and Task Management

  • Drive dimensional controls and tolerance discussions into the basics of all design across the organization
  • Support vehicle development and design team to ensure proper GD&T is specified for supplier parts and planned for in assembly of components 
  • Perform tolerance stack-up analysis on systems and components in support of design, development, and advanced manufacturing
  • Iterate on component design with design and release engineers based on assembly process and dimensional layouts to ensure a repeatable vehicle build with proper part fits and panel adjustments
  • Create and then uphold Rivian checking fixture and part quality standards
  • Review part tolerance call outs for supplier components as released with RFQ packages to suppliers
  • Support component and system design simplification with an overall push for manufacturing and assembly in design
  • Follow-up with suppliers through all phases of fixture design and construction
  • Assure that all  buyoff criteria is upheld for all parts/assemblies through final approval, to include but not limited to: Certification, R&R, EC Level, part quality.
  • Lead and mentor others in the Dimensional Control Engineering Department
  • Work as a champion of good, fundamental design across the vehicle
  • Work upfront in the design process to develop and assess feasibility of design targets for key vehicle sub-systems.
  • Cross-functional development and documentation of assembly datum schemes and in process dimensional specification requirements to ensure robust product manufacture.
  • Perform part and assembly tolerance stack analysis and provide feedback to product and manufacturing engineering team.
  • Development of key product maturation tools to be used in conjunction with quality loops to drive towards product excellence during new product introduction.
  • Root Cause launch issues in a data driven way.
  • Participate in Virtual and production Build events.
  • Knowledge of an automotive design and development process, system requirements, and general engineering best practices
  • Understanding of various methods of component forming and assembly and associated part or assembly tolerances 
  • Experience with component specification standards and ANSI standards for GD&T
  • Ability to review a design and process and provide suggestions to improve the repeatability of design
  • Experience with fixture design and the ability to troubleshoot fixture method repeatability issues.
  • Understanding and implementation of part quality improvements.

Qualifications
  • BS or higher in engineering.
  • 7+ years’ experience
  • CAD & GD&T proficiency – CATIA preferred.
  • Expertise in both 1D and 3D tolerance stack analysis, 3DCS preferred.
  • Passion for problem solving with the ability to methodically root cause issues by following a first principles approach.
  • Ability to make data driven decisions and demonstrate good analytical skills, experience with minitab/JMP or other statistical software beneficial.
  • Proficiency with statistical qualification of machinery, equipment, and gages (MSA) and the ability to improve and document our methods for completing these tasks.
  • Excellent interpersonal skills with the ability to collaboratively work with and influence cross-functional departments both internally and externally.
  • Energy & curiosity to make things happen, seek out solutions and represent a world class brand.
  • Willingness to travel, especially during times of peak demand.
  • Excellent leadership and man- management skills 
  • Excellent interpersonal skills 
  • Ability to manage a variety of cross-functional team members 
  • Excellent written, verbal and presentation skills 
  • Excellent organizational and follow-up skills 
  • Competent in problem solving, team building, planning and decision making

Pay Disclosure

The salary range for this role is $125,000-$157,000 for Illinois based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards. 

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. 

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 6/1/2026.



Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.

Candidate Data Privacy

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. 

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. 

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.  

Please note that we are currently not accepting applications from third party application services.

Qualifications:
  • BS or higher in engineering.
  • 7+ years’ experience
  • CAD & GD&T proficiency – CATIA preferred.
  • Expertise in both 1D and 3D tolerance stack analysis, 3DCS preferred.
  • Passion for problem solving with the ability to methodically root cause issues by following a first principles approach.
  • Ability to make data driven decisions and demonstrate good analytical skills, experience with minitab/JMP or other statistical software beneficial.
  • Proficiency with statistical qualification of machinery, equipment, and gages (MSA) and the ability to improve and document our methods for completing these tasks.
  • Excellent interpersonal skills with the ability to collaboratively work with and influence cross-functional departments both internally and externally.
  • Energy & curiosity to make things happen, seek out solutions and represent a world class brand.
  • Willingness to travel, especially during times of peak demand.
  • Excellent leadership and man- management skills 
  • Excellent interpersonal skills 
  • Ability to manage a variety of cross-functional team members 
  • Excellent written, verbal and presentation skills 
  • Excellent organizational and follow-up skills 
  • Competent in problem solving, team building, planning and decision making
Education:UNAVAILABLEEmployment Type: FULL_TIME

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About Rivian

Sourced by ZipRecruiter

Rivian is a pioneering automotive industry player headquartered in Irvine, California. Established in 2009, the company has made notable advancements in developing sustainable transportation solutions. It is widely recognized for its electric adventure vehicles: the R1T pickup and the R1S SUV. Rivian is dedicated to creating a positive shift in societal mobility and emphasizes sustainability, innovation, and adventure as part of its core values. Their mission is to keep the world adventurous forever - a testament to their commitment in transitioning the world to sustainable transportation. Rivian's achievements are numerous, with one of the most notable being securing a significant multi-billion dollar investment from Amazon for the production of electric delivery vans.

Industry

Automobile dealers

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

2009