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Apprentice Machine Learning Testing Jobs in Illinois

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Plumbing Apprentice

Itasca, IL · On-site

The Apprentice Plumber will work both individually and in teams in a learning environment. Job ... Drug Testing may be required. Physical Demands: Must be physically able to operate a variety of ...

Liberty Steel & Wire

Machinist Tool Maker

Peoria, IL

$27 - $35/hr

Wire Mill Machine Shop Hourly Wage: $27.00-$35.00/hour+ OT opportunities Schedule: Full-time | Must ... Completion of a recognized machinist/tool maker apprenticeship strongly preferred Skills: CNC ...

Liberty Steel & Wire

Machinist Tool Maker

Peoria, IL · On-site

$27 - $35/hr

Wire Mill Machine Shop Hourly Wage: $27.00-$35.00/hour+ OT opportunities Schedule: Full-time | Must ... Completion of a recognized machinist/tool maker apprenticeship strongly preferred Skills: • CNC ...

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Apprentice Machine Learning Testing information

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are the most commonly searched types of Machine Learning Testing jobs in Illinois? The most popular types of Machine Learning Testing jobs in Illinois are:
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Apprentice Machine Learning Testing 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 yesterday

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.

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