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Remote Machine Learning Compiler Engineer Jobs in Milwaukee, WI

Varsity Tutors

Python Tutor

Milwaukee, WI · Remote

$18 - $40/hr

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

Varsity Tutors

Linear Algebra Tutor

Milwaukee, 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:

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Imagine Learning

Virtual Teacher

Milwaukee, WI · On-site +1

$44K/yr

Health Science, Engineering, Criminal Justice, Chinese ***Imagine Learning is accepting ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Pegasus Knowledge Solutions, Inc

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

INNIO

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

Innio

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

Sehinc

Senior Civil Engineer - Supervisor

Milwaukee, WI · On-site +1

$120K - $140K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Hybrid work environment with potential to be fully remote Essential Qualifications: * Bachelor ...

Sehinc

Senior Civil Engineer - Supervisor

Pewaukee, WI · On-site +1

$120K - $140K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Hybrid work environment with potential to be fully remote Essential Qualifications: * Bachelor ...

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

Remote Machine Learning Compiler Engineer information

See Milwaukee, WI salary details

$73.9K

$165K

$202K

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

As of Jul 9, 2026, the average yearly pay for remote machine learning compiler engineer in Milwaukee, WI is $164,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,900.00 and $202,000.00 per year, depending on experience, location, and employer.

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 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.

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 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 are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Milwaukee, WI? For Remote Machine Learning Compiler Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Milwaukee, WI look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Milwaukee, 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 Milwaukee, WI as of July 2026, with employment types broken down into 6% Locum Tenens, 6% As Needed, 77% Full Time, 7% Part Time, 3% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $164,967 per year, or $79.3 per hour.
Python Tutor

Python Tutor

Varsity Tutors

Milwaukee, WI • Remote

$18 - $40/hr

Part-time

Re-posted 7 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Python Tutor
  • Advanced Subject Mastery: Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries including NumPy, Pandas, and Matplotlib. Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down algorithm design, data manipulation, and object-oriented programming concepts in Python. Guides students through writing clean functions, manipulating data with Pandas, creating visualizations, implementing class hierarchies, and automating tasks with scripts. Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with Python curricula at introductory through advanced levels and common challenges such as understanding indentation-based syntax, list versus dictionary selection, and debugging type errors. Adapts instruction using interactive notebooks, coding challenges, and project-based learning to support students from absolute beginners through advanced users preparing for data science, software development, or academic computing work.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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