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Senior Machine Learning Researcher Jobs in Chicago Heights, IL

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine ... Design and implement novel machine learning and deep learning models tailored to internal research ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

... research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers ...

New

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All JobsMachine Learning Researcher JobsSenior Machine Learning Researcher JobsSenior Machine Learning Researcher Jobs in Chicago Heights, IL

Senior Machine Learning Researcher information

See Chicago Heights, IL salary details

$27.9K

$74.9K

$134.4K

How much do senior machine learning researcher jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior machine learning researcher in Chicago Heights, IL is $74,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $96,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

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

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for senior machine learning researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What cities near Chicago Heights, IL are hiring for Senior Machine Learning Researcher jobs?

Cities near Chicago Heights, IL with the most Senior Machine Learning Researcher job openings:

Senior Machine Learning Researcher jobs near you
Infographic showing various Senior Machine Learning Researcher job openings in Chicago Heights, IL as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $74,873 per year, or $36 per hour.

Quantitative Researcher, Machine Learning - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 18 hours ago

Job description

Quantitative Researcher, Machine Learning - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Quantitative Researcher Responsibilities:
- Develop predictive models and use data-driven insights to maximize strategy performance and identify new trading opportunities.
- Design and implement robust and scalable CI/CD data pipelines.
- Translate machine learning algorithms into code.
- Support current strategies and help develop new strategies utilizing our proprietary software.
- Stay up to date on cutting-edge machine learning techniques.
Quantitative Researcher Qualifications:
- Bachelors in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
- Strong GPA (3.5 or higher).
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
- Practical experience applying machine learning techniques for trading applications is preferred.
- Experience with high-performance computing (HPC) environments such as SLURM is preferred.
- Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.) is preferred.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C++, TDD, CI/CD, Linux, Trading, HPC, SLURM, Orchestration, Containerization, Financial, Programmer Analyst, Programming, Software Developer, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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