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Remote Machine Learning Compiler Engineer Jobs in Streamwood, IL

Parallel Works

Junior HPC Applications Engineer

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are a small engineering company, so engineers here work directly with the people using the ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...

Parallel Works

Junior HPC Applications Engineer

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are a small engineering company, so engineers here work directly with the people using the ... It suits someone who has run scientific or machine learning workloads on a cluster as a user and ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Streamwood, IL

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 Aug 20, 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:

Remote Machine Learning Compiler Engineer jobs near you
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.

Consulting Actuary - Remote

DW Simpson

Chicago, IL • Remote

$135/hr

Other

Posted 19 days ago

Job description


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 will partner with analysts & data scientists to scope & execute actuarial analyses rooted in machine learning. The ideal candidate would have at least 5 years of actuarial experience, preferably with direct client facing experience. Must be familiar with predictive modeling, have strong communication, and be comfortable learning and using AI tools. Completion of Exam 5 required, ACAS or FCAS designation preferred. (#58756)
Compensation:
  • Salary range of $135-185K

Location:
  • Remote
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About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989

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