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Junior Machine Learning Engineer Jobs in Chicago, IL

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. As a Senior ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of ...

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Work with junior engineers and peers to provide mentorship and thought leadership. Be comfortable ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Junior Machine Learning Engineer information

See Chicago, IL salary details

$34.5K

$74K

$112.8K

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

As of Jul 13, 2026, the average yearly pay for junior machine learning engineer in Chicago, IL is $73,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,400.00 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?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

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 are the most commonly searched types of Machine Learning Engineer jobs in Chicago, IL? The most popular types of Machine Learning Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Junior Machine Learning Engineer jobs? Cities near Chicago, IL with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $73,964 per year, or $35.6 per hour.

Junior Machine Learning Scientist, Digital Pathology

Jobright.ai

Chicago, IL

Full-time

Medical, Vision, Retirement

Posted 27 days ago


Job description

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

Junior Machine Learning Scientist, Digital Pathology

Join to apply for the Junior Machine Learning Scientist, Digital Pathology role at Jobright.ai

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Job Summary:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. We are seeking a highly motivated and skilled Machine Learning Scientist to join our Digital Pathology Data Science team, where you will design, develop, and deploy AI models and algorithms tailored to healthcare and precision medicine.

Responsibilities:

• Develop and Implement AI/ML Models: Design, train, and validate machine learning models for analyzing digital pathology images (whole-slide images) to perform tasks like biomarkers and outcomes prediction.

• Algorithm Validation and Deployment: Validate ML/AI algorithms analytically and/or clinically, and deploy them into existing workflows or production environments.

• Data Analysis and Curation: Work with large-scale pathology datasets, ensuring data quality and integrity, collecting annotations, and preprocessing for model training and evaluation.

• Collaboration: Collaborate with a multidisciplinary team including pathologists, biologists, statisticians, data analysts, and engineers to integrate AI solutions and transform health care.

• Research and Innovation: Stay updated on the latest advancements in AI, machine learning, digital pathology, and multi-modal healthcare to contribute to ongoing projects and identify new opportunities.

• Biomarker Discovery: Assist in identifying biomarkers from histopathology and spatial omics data to support patient stratification and companion diagnostic efforts.

Qualifications:

Required:

• Ph.D. (or MS and 2+ years of working experience) in Computer Science, Artificial Intelligence, Data Science, Computational Biology, or a related field. A strong academic background with a focus on imaging for healthcare applications is preferred.

• Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, weakly supervised learning and self-supervised learning.

• Extensive experience in developing and implementing imaging AI models, such as ViT, CNNs, Unet, and related architectures including tasks such as classification, segmentation or detection.

• Outstanding analytical and problem-solving skills, with a particular focus on understanding the intricacies of multi-modal medical datasets.

• Proficiency in programming languages and packages commonly used in AI research, such as Python and PyTorch / Tensorflow.

• Strong collaboration and communication abilities.

• Track record in publications, patents, and/or launched products in this space.

Preferred:

• Experience in pre-training and fine-tuning unimodal or multimodal foundation models.

• Experience working with histopathology images, DNA/RNA molecular sequencing data or clinical data (structured EHRs, clinical notes).

• Experience working in an industry setting.

Company:

Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data. Founded in 2015, the company is headquartered in Chicago, Illinois, USA, with a team of 1001-5000 employees. The company is currently Public Company. Tempus AI has a track record of offering H1B sponsorships.

Seniority level
  • Seniority levelEntry level
Employment type
  • Employment typeFull-time
Job function
  • IndustriesSoftware Development

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