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

IMC

Machine Learning Researcher

Chicago, IL · On-site

Design and deploy machine learning models to enhance trading performance across various asset ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

IMC B.V.

Machine Learning Researcher

Chicago, IL · On-site

$200K - $275K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ... machine learning, and engineering shape how modern markets are traded. A stabilizing force in ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for phd machine learning in Chicago, IL is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $26.25 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

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

Cities near Chicago, IL with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,938 per year, or $23.5 per hour.

Machine Learning Research Intern - Summer 2027 - Chicago

Chicago, IL

IMC
See more jobs at IMCexternal

$300K/yr

Full-time, Temporary, Internship

PTO

Re-posted 14 days ago

Job description

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10-12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.

Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.

YOUR CORE RESPONSIBILITIES:

  • Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
  • Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
  • Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
  • Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

YOUR SKILLS AND EXPERIENCE:

  • Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Must be able to start internship in-person on June 7, 2027

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $300,000

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