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Remote Machine Learning Compiler Engineer Jobs in Milwaukee, WI

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

... Engineer Workplace: Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI ... SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Strong foundation in machine learning fundamentals - supervised/unsupervised learning, time-series ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Design and implement scalable machine learning models and LLM-based solutions. * Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Design and implement scalable machine learning models and LLM-based solutions. * Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using ...

Accenture

SAP Solution Architect - Mid Market

Milwaukee, WI · Remote

$81 - $109/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * ...

New

Carter Machinery

SUPPLIER QUALITY ENGINEER

Milwaukee, WI · On-site +1

$89K - $115K/yr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

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 ...

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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 30, 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, 7% As Needed, 81% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $164,967 per year, or $79.3 per hour.

DevOps Engineer[remote]

SmartIPlace

Milwaukee, WI • Remote

$54 - $74/hr

Contractor

Re-posted 15 days ago

Job description

Title: DevOps Engineer

Workplace: Remote in the US

Start Date: 5/4

Duration: 4 months

Location: Milwaukee, WI

Visa: USC, GC, GC-EAD, H4-EAD

 

Top Skills

  1. 3 years of Cloud experience (Azure, AWS, and/or GCP)
  2. Strong scripting and automation skills
  3. Core IaaS: Compute, Storage, Networking, High Availability
  4. Azure PaaS Services: Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc.

Qualifications

  • Bachelor's or master's degree in computer science or equivalent engineering experience
  • Minimum of 8 years of overall mixed IT experience
  • Minimum of 3 years of cloud experience (Azure, AWS, and/or GCP)
  • Strong scripting and automation skills (Terraform, PowerShell, Git)

Technical Skills

  • Understanding of cloud computing technologies
  • Optionally, demonstrated hands-on experience in one or more of the following:
  • Core IaaS: Compute, Storage, Networking, High Availability
  • Azure PaaS Services: Logic Apps, Azure Monitor/Log Analytics, Defender for Cloud, IoT suite, Advisor, etc.
  • Identity and Authentication: SSO/Federation, AD/Azure AD, ADFS, etc.
  • Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB
  • Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO), GitHub Actions, Jenkins
  • Experience in implementing cost management solutions
  • Ability to work in a highly collaborative environment and communicate effectively with internal and external partners
  • Understanding of networking fundamentals (DNS, Hub-Spoke model, On-prem, VWAN)
  • Any cloud certifications (AZ-400, AWS Certified DevOps Engineer or similar)
  • Experience deploying/migrating mixed Cloud architectures (PaaS, SaaS, and/or IaaS)
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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