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Remote Machine Learning Compiler Engineer Jobs in Janesville, WI

State of Wisconsin

Learning Facilitator - LTE

Madison, WI · On-site +1

$17/hr

Support development of learning resources and planning for PK-12 programming and, family programs ... This topic and any remote work flexibility that may be available will be discussed in more detail ...

EnsoData

User Experience (UX) Designer

Madison, WI · On-site +1

I'm Dylan, one of the engineering managers at EnsoData and we are looking for another great ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

Varsity Tutors

Linear Algebra Tutor

Madison, WI · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Wisconsin

Software Engineer/Developer III

Madison, WI · On-site +1

$90K/yr

... learning, and research. We are proud to be a part of UW-Madison's nationally ranked School of ... Remote work is an option for this position on a voluntary basis; however, it is important to note ...

Varsity Tutors

Mechanical Engineering Tutor

Madison, WI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

EnsoData

Customer Success Support Specialist

Madison, WI · On-site +1

$25 - $26/hr

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Ability to work collaboratively in a remote and cross-functional environment Preferred ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Janesville, WI

Remote Machine Learning Compiler Engineer information

See Janesville, WI salary details

$73.8K

$164.7K

$201.6K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning compiler engineer in Janesville, WI is $164,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $201,600.00 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 cities near Janesville, WI are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Janesville, WI 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 Janesville, WI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $164,681 per year, or $79.2 per hour.

Learning Facilitator - LTE

State of Wisconsin

Madison, WI • On-site, Remote

$17/hr

Part-time

PTO

Posted 8 days ago

State Of Wisconsin rating

7.8

Company rating: 7.8 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

21st of 50 rated states

Job description

Introduction
The Wisconsin Historical Society , considered one of the nation's finest historical institutions, is a State of Wisconsin government agency as well as a mission-driven entrepreneurial organization. The Wisconsin Historical Society (WHS), founded in 1846, ranks as one of the largest, most active and diversified state historical societies in the nation. As both a state agency and a private membership organization, its mission is to help people connect to the past by collecting, preserving, and sharing stories. At its core, WHS believes that increasing the public's knowledge of history has profound societal, cultural, and economic benefit. Its library, archives and collections, historic sites and museums, historic preservation office, and extensive educational programs and community outreach are focused on our vision to enrich and transform lives through unparalleled access to history. Click here for more information about WHS' mission, vision, and core values.
Position Summary
Learning Facilitators at the History Maker Space on Madison's Capitol Square are responsible for leading dynamic experiences for a diverse range of PK-12 students and teachers through field trips at the History Maker Space and through in-school programs. Utilizing creative engagement methods, Learning Facilitators deliver educational programs that are based in historical literacy to create connections between past and present and foster civic participation.
Responsibilities
  • History Maker Space and In-School Educational Program Facilitation:
    • Facilitate learning experiences for PK-12 audiences through field trips at the History Maker Space.
    • Facilitate learning experiences for PK-12 audiences in school classrooms.
    • Ensure all programs are accessible for learners with diverse needs.
    • Support development of learning resources and planning for PK-12 programming and, family programs, and summer camps.
  • Program Coordination:
    • Provide administrative support for booking and checking in groups, processing payments, tracking daily attendance, and coordinating movement of groups through learning spaces.
    • Organize and set up materials required for PK-12 educational programs.
    • Arrange learning spaces to accommodate program and other school group needs.
    • Actively communicate information affecting PK-12 programming and collaborate with team to address all issues in a timely manner.

Salary Information
Pay is $17.00 per hour with a weekend differential of 80 cents per hour. This classification is in schedule and class 13-04.
Please note this is a Limited Term Employment position so it does not include paid time off or benefits upon hire.
Job Details
A criminal background check will be conducted by WHS prior to an offer of employment to determine if the circumstances of any conviction may be related to the job.
This is a Limited Term Employment (LTE) position and limited to 1,039 hours. This position will be part time and average 20 hours per week.
Wisconsin residency is required for Limited Term Employment positions.
Limited Term Employment (LTE) positions are not civil service classified positions, do not give any rights to permanent civil service classified positions and do not lead to permanent status.
WHS does not sponsor work visas. Any appointment made will be contingent on the applicant being able to prove valid status to work in the United States.
Certain positions within WHS may allow remote/work from home flexibility for a portion of their work schedule, depending on the needs of the position and the work unit. This topic and any remote work flexibility that may be available will be discussed in more detail in the interview process.
Qualifications
  • Enthusiasm for teaching and engaging students in the study of history and civic engagement in an informal learning environment.
  • Must be available to facilitate at least two programs each week, a minimum of 4 hours, between 8:00am and 4:00pm Monday through Friday.
  • Experience working with PK-12 groups and/or developing learning experiences for these audiences preferred
  • Excellent communication skills and ability to effectively engage with large groups.
  • Ability to use a computer and possess working knowledge of word processing and database software.
  • Ability to drive to schools within a 1-hour radius of the History Maker Space preferred.
  • Ability to meet deadlines and arrive on time.

How To Apply
Apply online! To apply, click "Apply for Job" to start the application process. Then, you will access your existing account or to create a new account if you don't have an account. Once you are logged in, click "Apply for Job." Follow the steps outlined in the application process and submit your application.
Your letter of qualifications and resume are very important parts of your application and are used during our evaluation process to determine your qualifications as they relate to the job. For instructions on developing your resume and letter of qualifications for your application and what should be included in these materials, click here .
Submitted materials will be evaluated and the most qualified applicants will be invited to participate in the next step of the hiring process.
We are an Equal Opportunity and Affirmative Action employer seeking a diverse and talented workforce.
Questions can be directed to dawn.garcia@wisconsinhistory.org or (608) 264-6670
Please see the Frequently Asked Questions for general wisc.jobs user information and technical assistance.
Deadline to Apply
Applications will be accepted until the position is filled.

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