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Machine Learning Scientist Jobs in Chicago, IL (NOW HIRING)

Chicago, IL Job Overview As a machine learning scientist in our clients innovative and fast-paced team, you will be building machine learning models as well as designing and developing next ...

Collaborate with battery scientists and domain experts to incorporate physical constraints or ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

We develop machine learning models and infrastructure to support internal team strategies and collaborate closely with our data science organization to drive efficiency and best practices. Your ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Partner closely with Data Scientists to support traditional ML model development, including feature ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Scientist information

See Chicago, IL salary details

$80.6K

$146.2K

$204.8K

How much do machine learning scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning scientist in Chicago, IL is $146,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,762.00 and $162,687.00 per year, depending on experience, location, and employer.

What is a Machine Learning Scientist job?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What are the typical daily tasks and collaboration opportunities for a Machine Learning Scientist?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What are the key skills and qualifications needed to thrive in the Machine Learning Scientist position, and why are they important?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Chicago, IL? The most popular types of Machine Learning Scientist jobs in Chicago, IL are:
What job categories do people searching Machine Learning Scientist jobs in Chicago, IL look for? The top searched job categories for Machine Learning Scientist jobs in Chicago, IL are:
Infographic showing various Machine Learning Scientist job openings in Chicago, IL as of June 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, and 12% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $146,180 per year, or $70.3 per hour.

Machine Learning Scientist

Links Partners

Chicago, IL

$116K - $130K/yr

Full-time

Posted 28 days ago


Job description

Base pay range

$116,000.00/yr - $130,000.00/yr

Direct message the job poster from Links Partners

Reports To: Chief of Data Science and AI

Location: Chicago, IL

Job Overview

As a machine learning scientist in our clients innovative and fast-paced team, you will be building machine learning models as well as designing and developing next generation AI applications that allow legal investigators and litigation professionals to filter millions of documents down to those most important to their case.

From your seat in our beautiful new office in downtown Chicago, you will have access to many teammates to help respond to clients timely. Our office is in the heart of the loop with very convenient access to all major public transportation lines. Please be aware that we are onsite with a traditional five-day workweek schedule. This is a fully in-person role.

Responsibilities & Duties
  • Design and implement advancements in AI and GenAI-based modules.
  • Design and implement new AI and GenAI functionality.
  • Work with internal stakeholders on creating solutions tailored to the customer’s needs.
  • Work on scalability and performance of AI functionality.
Characteristics
  • Creativity and quick problem-solving abilities demonstrated in industry or academic projects.
  • Strong collaboration and team playing skills.
  • Oand time management skills to handle multiple competing demands.
Education & Experience
  • M.S. or Ph.D. in Computer Science, BS in Computer Science.
  • 3-4 years of industry work experience.
  • Solid understanding of core ML concepts, algorithms, and evaluation metrics.
  • Understanding of Large Language Models fundamentals.
  • Hands-on experience with prompt engineering for specific tasks and domains. Skills in techniques like chain-of-thought prompting and in techniques to improve LLM performance and reduce hallucinations.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud services (AWS, Azure, GCP) for data storage, model training, and deployment.
  • Proficiency with Git and platforms like GitHub for code management.
  • Experience with Docker.
  • Understanding and implementation of continuous integration and continuous delivery practices.
  • Understanding of data structures, algorithms, object-oriented programming (OOP), and system design.
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Software Development

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