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Remote Machine Learning Postdoc Jobs in Illinois

Overview SUMMER 2027 Shure offers a challenging, fun, and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a

Looking for an opportunity to really make an impact? P&C consulting firm is in search of a highly motivated Actuary who will help manage & grow a portfolio of client relationships. In this role, you

Job Title: Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how

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Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful

COBOL Developer - Remote

Chicago, IL · Remote

$100 - $150/hr

COBOL Developer - Remote Role Type: Contractor Location: Remote Role Overview We are seeking experienced COBOL Developers to contribute their expertise to a high-impact customer project focused on

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Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people

Showing results 41-60

Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What job categories do people searching Remote Machine Learning Postdoc jobs in Illinois look for?

The top searched job categories for Remote Machine Learning Postdoc jobs in Illinois are:

Infographic showing various Remote Machine Learning Postdoc job openings in Illinois as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Audio Applied Research Science Intern

Niles, IL • On-site, Remote

Shure
Computer and Electronic Product Manufacturing • 1 - 5K employees

Full-time, Internship

Retirement, PTO

Re-posted 10 days ago


Job description

Overview

SUMMER 2027

Shure offers a challenging, fun, and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a variety of work arrangements from onsite interns to fully remote in US. Each intern will receive a competitive salary. Additionally, Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses. Applications will be collected, reviewed, and selected candidates will be contacted in late fall/early winter.

The Signal Processing and Applied Research Science team is seeking a highly motivated Audio Applied Research Science Intern to help develop next-generation audio technologies powered by machine learning and artificial intelligence. This role offers the opportunity to contribute to cuttingedge research and product development in professional audio applications.

This Internship will be Remote, Onsite or Hybrid in Niles, IL.

Responsibilities
  • Conducting research and developing machine learning solutions for challenging audio problems.
  • Collecting, creating, and curating datasets for model development and evaluation.
  • Designing, training, and evaluating deep learning models for audio applications, including:
    • Single- and multi-channel audio processing
    • Speech enhancement
    • Music enhancement
    • Audio classification
    • Other audio intelligence and signal processing tasks
  • Investigating and implementing state-of-the-art machine learning architectures and techniques.
  • Optimizing and adapting models for deployment across a variety of hardware and software platforms.
  • Applying modern machine learning engineering practices, including shared codebases, reusable toolkits, experiment tracking, and reproducible workflows.
  • Documenting research findings, experimental results, and technical recommendations using collaborative documentation tools.
  • Presenting technical results and insights to research and engineering teams.
Qualifications
  • Currently pursuing a PhD or advanced Master's degree in Electrical Engineering, Computer Science, Mathematics, Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.
  • Demonstrated research or project experience in machine learning, deep learning, or artificial intelligence.
  • Experience applying machine learning techniques to audio, speech, digital signal processing, multimedia, or related domains.
  • Proficiency with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, JAX, or equivalent.
  • Strong programming skills in Python and experience working with scientific computing tools.
  • Ability to independently investigate complex technical challenges and rapidly prototype solutions.
  • Strong written and verbal communication skills.
  • Experience with audio signal processing, acoustics, speech processing, or music information retrieval.
  • Familiarity with MLOps practices, including experiment tracking, model versioning, CI/CD workflows, or scalable training infrastructure.
  • Experience deploying machine learning models to embedded, edge, mobile, cloud, or realtime systems.
  • Experience with full-stack software development and cloud technologies.
  • Publications, open-source contributions, or demonstrated research achievements are a plus.

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

WHO WE ARE

Shure's mission is to be the most trusted audio brand worldwide - and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn't stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.

Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia.

Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence.

THE MIX MATTERSDon't check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you're excited about this role, believe you've got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply!

PAY TRANSPARENCY

Modeled by extensive market analysis and economic best practices, Shure offers competitive intern compensation that is reviewed and adjusted annually by our Total Rewards Team to attract, hire, and retain the industry's top intern talent. Each internship has an hourly rate which varies from $23-$43 per hour based on job function (Engineering, IT, Business, etc) and year completed in school (Junior, Masters 2nd year, PHD, etc). 

WE GOT YOU - Our Benefits

At Shure, we prioritize the well-being of our associates. Benefits for our interns include retirement savings plans and paid time off, employee discounts, professional development opportunities, and work-life balance initiatives. To learn more, check out our Intern Benefits At A Glance

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Employment Type: OTHER