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Postdoctoral Fellow Machine Learning Jobs in Chicago, IL

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ... Familiarity with modern machine learning approaches (e.g., deep learning, generative models, or ...

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Postdoctoral Fellow Machine Learning information

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$25.8K

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$86K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Jun 11, 2026, the average yearly pay for postdoctoral fellow machine learning in Chicago, IL is $60,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $68,500.00 per year, depending on experience, location, and employer.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Chicago, IL? For Postdoctoral Fellow Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Chicago, IL look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Postdoctoral Fellow Machine Learning jobs? Cities near Chicago, IL with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in Chicago, IL as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 42% Full Time, 55% Part Time, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $60,801 per year, or $29.2 per hour.

Postdoctoral Fellow, Microtissue Signaling Dynamics

Biohub

Chicago, IL

$84K/yr

Other

Retirement, PTO

Posted 7 days ago

Job description

The Team

We study how cells within tissues communicate through biochemical signals during disease and immune responses. By collecting multimodal data from tissues and developing advanced microfluidic platforms, we aim to uncover the core mechanisms that drive disease progression and treatment responses. Integrating experimental data with computational approaches-including network modeling, information theory, and machine learning-we seek to identify the most informative indicators of disease state and develop more effective therapeutic strategies for autoimmune diseases and cancer.

The Opportunity

Biohub Chicago seeks outstanding early-career experimental scientists with expertise in microfluidics and quantitative biology to join as a Postdoctoral Fellow developing innovative devices for culturing and testing various tissues. We welcome candidates from diverse experimental backgrounds-whether rooted in microfluidics, imaging, bioengineering, or other modalities-who bring rigorous quantitative thinking and a drive to tackle complex biological questions. This role offers a unique opportunity to work hands-on in a generously funded, highly collaborative environment at the intersection of technology development, bioengineering, and disease-focused discovery.

Postdoctoral Fellows  will be embedded in interdisciplinary teams applying and developing microfluidic devices to simulate various inflammatory disease mechanisms with focus on skin tissue and/or gut tissue model. The successful candidate will design and execute quantitative experiments-using imaging, fluid handling, automation, or complementary profiling technologies-to dissect cellular heterogeneity, immune cell states, and tissue-level responses in complex biological systems. This role emphasizes both experimental rigor and computational fluency in the analysis of large-scale, high-dimensional datasets.

Projects align with the Biohub's mission to uncover fundamental disease mechanisms and to develop transformative measurement technologies that accelerate biomedical research. Biohub Chicago is deeply committed to training scientists for impactful careers in academia, industry, and beyond.

What You'll Do
  • Develop microfluidic platforms for skin and/or gut tissue.
  • Develop the code to operate various components in the integrated system including fluidic handling (robotic pipette), other mechanical and electrical parts, and imaging.
  • Perform the experiments to simulate various disease scenarios.
  •  Analyze the data: sequential volumetric images and cytokines or other protein profiles in the biofluid in collaboration with other teams in Biohub.
  • Actively collaborate with other teams in the Biohub.
What You'll Bring
  • Programming including Matlab, python, and/or C++.
  • Cleanroom/Soft lithography experience (Laser writer, spin-coating, DRIE, etc).
  • Multilayer microfluidic device fabrication.
  • Experience with handling mammalian cell or tissues.
  • Experience with advanced microscopy (confocal and/or light-sheet microscopy) Image analysis.
Compensation

The Chicago, IL base pay range for a new hire in this role is $84,150. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Benefits for the Whole You 

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice. 
  • Funding for select family-forming benefits. 
  • Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

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