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Remote Machine Learning Compiler Engineer Jobs in Janesville, WI

Python Tutor

Madison, WI · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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 ...

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 ...

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

Showing results 21-40

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 Sep 10, 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Janesville, WI look for?

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

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:

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.

Staff Software Engineer, Fullstack

Madison, WI • On-site, Remote

Findhelp, A Public Benefit Corporation
Software Development • 201 - 500 employees

$114K - $143K/yr

Full-time

Re-posted 3 days ago


Job description

The R&D Department is made up of different disciplines including software and database engineers, quality, technical implementation.  R&D designs and develops requested product features, fixes bugs within our platform, provides technical analysis and estimation, ensures successful integration installations, manages and monitors the health of our platform, and develops automation and tooling for efficient and reliable software development processes. R&D works cross-functionally with many other departments in the organization as a team to fulfill Findhelp's mission of connecting all people in need and the programs that serve them with dignity and ease.

As a Staff Software Engineer, you will be a technical leader within a cross-functional team, driving the architecture and end-to-end delivery of major, high-impact platform features that directly serve our mission. This role requires applying deep technical expertise to solve complex, ambiguous engineering challenges and mentor the team to raise the overall quality bar.

Responsibilities and Duties:
  • Design and Implement full-stack features from initial concept through deployment, prioritizing an intuitive and efficient end user experience.

  • Drive the planning and design of new services and platform components, with a keen focus on scalability, security, and maintainability across the entire system.

  • Explore and integrate machine learning and data science techniques to enhance service matching, platform search capabilities, and operational efficiency.

  • Deliver high-quality, well-tested code and engage in rigorous peer code reviews and pair programming sessions to uphold team standards and best practices.

  • Take full ownership of features, including monitoring in production, diagnosing issues, and driving iterative improvements post-launch.

  • Lead efforts to improve platform health by proactively identifying and executing on refactoring and modernization opportunities.

  • Collaborate closely with Product Managers, Designers, and other engineering teams in a highly cross-functional environment, often serving as the primary technical contact.

Qualifications:
  • 5-7 years of progressive professional experience as a Software Engineer.

  • Demonstrated ability to design, plan, and lead the technical execution of large-scale, cross-team projects with significant business impact.

  • Proven capacity to elevate the technical proficiency of the team, serving as a primary reviewer, technical lead, and mentor for engineers at all levels.

  • Expertise in architecting, documenting, and leading the implementation of new services and complex system components, emphasizing performance and longevity.

  • Strong communication skills, both written and verbal, for technical collaboration and documentation.

  • Deep expertise in relational databases (e.g., SQL, ORMs) and practical experience with non-relational databases.

  • Expertise in web performance strategies, optimization techniques, and observability/monitoring for mission-critical systems.

  • Strong experience with our primary stack: Python (or similar backend language) and ReactJS (or similar modern frontend framework).

  • Extensive practical experience designing and operating services within a microservices architecture or distributed system.

  • Direct experience with cloud platforms, specifically GCP (Google Cloud Platform), including managed services, security, and deployment (e.g., Kubernetes, Cloud Functions).

Physical demands and work environment

  • This job is based on-site in Austin, TX or Madison, WI with the opportunity to work remotely on Fridays.
  • This is largely a sedentary role. 
  • Limited travel may be required.
  • Standard office equipment is used, such as laptops, monitors and headsets, if needed.  
$114,400 - $143,000 a year
The salary range provided reflects the national average for this job title and does not represent compensation specific to Findhelp. Actual compensation will vary based on experience, qualifications, and market factors relevant to the position.
We value being together 
We believe being together enables stronger relationships, collaboration, and culture.
This position is in office and candidates must be located in Austin, Texas, Madison, Wisconsin, or Denver, Colorado
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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