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Remote Machine Learning Compiler Engineer Jobs in Morton Grove, IL

YO AI Labs

Mental Health Expert - Remote

Chicago, IL · Remote

$200 - $350/hr

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 ...

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

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 ...

OneStream

AI Engineer

Chicago, IL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-AS1

OneStream

AI Engineer

Chicago, IL · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Shure

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 ...

Shure

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 ...

Shure

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 ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Morton Grove, IL

Remote Machine Learning Compiler Engineer information

See Morton Grove, IL salary details

$74.6K

$166.6K

$203.9K

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

As of Sep 8, 2026, the average yearly pay for remote machine learning compiler engineer in Morton Grove, IL is $166,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,300.00 and $203,900.00 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 Morton Grove, IL look for?

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

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

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

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Morton Grove, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $166,575 per year, or $80.1 per hour.

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Chicago, IL • Remote

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$107K - $147K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments.
This is an excellent opportunity for an operations-minded engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow. Required Skills & Experience
  • 3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
  • Experience deploying machine learning models into production environments
  • Strong knowledge of AWS cloud services
  • Experience with Databricks
  • Hands-on experience with Docker and Kubernetes
  • Proficiency in Python
  • Experience building and maintaining CI/CD pipelines
  • Familiarity with monitoring and observability platforms
  • Experience supporting production environments and troubleshooting incidents
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
Desired Skills & Experience
  • Experience with AWS Bedrock, SageMaker, or other AI platforms
  • Exposure to large language model deployment and optimization
  • Knowledge of model monitoring and drift detection
  • SQL and data analytics experience
  • Infrastructure as Code experience
  • Experience supporting highly scalable cloud applications
What You Will Be Doing Tech Breakdown
  • 40% AWS Cloud Infrastructure
  • 25% Kubernetes & Container Platforms
  • 20% CI/CD & Automation
  • 15% Monitoring, Observability & Support
Daily Responsibilities
  • 75% Hands-On Engineering
  • 5% Management Duties
  • 20% Team Collaboration
The Offer
  • Bonus Eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) Program
  • Paid Vacation & Holidays
  • Professional Development Opportunities
  • Life Insurance
  • Employee Assistance Programs
  • Flexible Work Environment
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
#LI-DK1

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