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Senior Machine Learning Researcher Jobs in Chicago, IL

IMC

Machine Learning Researcher

Chicago, IL · On-site

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

IMC B.V.

Machine Learning Researcher

Chicago, IL · On-site

$200 - $275/hr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

$250 - $300/hr

New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems.

Paylocity

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 ...

Apex Systems

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 ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company's Data Analysis and Machine Learning capabilities. They'll be working ...

The Hartford

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 ... Research, experiment with, and implement suitable Generative and ML algorithms, tools and ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Research, experiment with, and implement suitable Generative and ML algorithms, tools and ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Research, experiment with, and implement suitable Generative and ML algorithms, tools and ...

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

Senior Machine Learning Researcher information

See Chicago, IL salary details

$29.4K

$78.9K

$141.6K

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

As of Aug 31, 2026, the average yearly pay for senior machine learning researcher in Chicago, IL is $78,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $101,500.00 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 are the most commonly searched types of Machine Learning Researcher jobs in Chicago, IL?

The most popular types of Machine Learning Researcher jobs in Chicago, IL are:

What are popular job titles related to Senior Machine Learning Researcher jobs in Chicago, IL?

For Senior Machine Learning Researcher jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Researcher jobs in Chicago, IL look for?

The top searched job categories for Senior Machine Learning Researcher jobs in Chicago, IL are:

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

Cities near Chicago, 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, IL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,916 per year, or $37.9 per hour.

Machine Learning Researcher

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

Full-time

Re-posted 3 days ago

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC.  The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism.  This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

  • Design and deploy machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
  • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:

  • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 2+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills

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