2

Remote Machine Learning Compiler Engineer Jobs in Streamwood, IL

This Internship will be Remote, Onsite or Hybrid in Niles, IL. Responsibilities * Conducting ... Applying modern machine learning engineering practices, including shared codebases, reusable ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Design, implement, and optimize advanced machine learning and optimization models to address ...

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Audio DSP Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

Deliver digital signal processing and Machine Learning features into a variety of intelligent ... We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

See Streamwood, IL salary details

$74.1K

$165.4K

$202.5K

How much do remote machine learning compiler engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote machine learning compiler engineer in Streamwood, IL is $165,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,300.00 and $202,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Streamwood, IL look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Streamwood, IL are:

What cities near Streamwood, IL are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Streamwood, IL with the most Remote Machine Learning Compiler Engineer job openings:

Infographic showing various Remote Machine Learning Compiler Engineer job openings in Streamwood, IL as of August 2026, with employment types broken down into 16% Internship, 29% Full Time, 20% Part Time, and 35% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,408 per year, or $79.5 per hour.

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

#LI-HYBRID

Employment Type: OTHER