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Remote Machine Learning Compiler Engineer Jobs in Utah

Cicero Group

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Varsity Tutors

Data Science Tutor

Logan, UT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Cedar City, UT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site +1

... machine learning, object storage, and high-performance computing at customer sites and in the lab ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

ENFRA LLC

Software Engineer II

Salt Lake City, UT · On-site +1

$89.50K - $122.60K/yr

Overview A Software Engineer II is a mid-level position responsible for executing tasks associated ... This team will leverage modern IoT, data science and machine learning, cloud, and front end user ...

Varsity Tutors

Python Tutor

Provo, UT · 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 ...

Varsity Tutors

Python Tutor

Spanish Fork, UT · 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 ...

Varsity Tutors

Python Tutor

Logan, UT · 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 ...

Varsity Tutors

Python Tutor

Cedar City, UT · 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 ...

Consor Engineers

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Utah

Remote Machine Learning Compiler Engineer information

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.

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 most commonly searched types of Machine Learning Compiler Engineer jobs in Utah? The most popular types of Machine Learning Compiler Engineer jobs in Utah are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Utah? For Remote Machine Learning Compiler Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Utah look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Utah with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Senior AI Developer

Senior AI Developer

Cicero Group

Salt Lake City, UT • On-site, Remote

$52.75 - $69.75/hr

Full-time

Posted 19 days ago

Job description

About the Role
MGT is hiring a Senior AI Developer to join our AI Operating Group (AI OG). The AI OG is responsible for both internal AI tool development and client-facing AI solution delivery, primarily serving the state and local government market.
This is a deeply technical, hands-on role. You will build the AI systems that power our client engagements and internal product suite - not prototype them, not advise on them. You will own the code, the architecture, and the output. The right person for this role has real AI development experience, is fluent in the Microsoft Azure ecosystem, and takes pride in shipping things that actually work in production.
This is not a consulting role, but you will work closely with client-facing teams. You should be comfortable translating ambiguous business requirements into clean technical solutions, and working across a team where not everyone speaks your language.
What You'll Do
  • Build and maintain production-grade AI solutions including RAG pipelines, agentic workflows, and multi-agent systems
  • Develop on the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Foundry, and related services
  • Architect and implement data pipelines and integration patterns that connect AI capabilities to client systems and data sources
  • Work with tool-layer integration standards such as MCP (Model Context Protocol) to connect agents with enterprise systems
  • Develop reusable components, skills, templates, and accelerators that scale across multiple engagements
  • Collaborate with AI Solutions Architects and project leads to translate solution designs into working builds
  • Contribute to and help set technical standards for the AI OG's code-first development practices
  • Support internal product development across MGT's AI tool suite
Required Qualifications
  • 5+ years of professional software development experience, with at least 2 years focused on AI or machine learning applications
  • Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases
  • Demonstrated Azure experience, including Azure OpenAI Service or Azure AI Foundry
  • Strong Python development skills
  • Ability to independently scope and deliver technical solutions with minimal oversight
  • A builder mentality: you would rather figure it out and ship it than wait for a detailed specification
Preferred Qualifications
  • Experience with Microsoft Copilot Studio or Power Platform
  • Background in data architecture, ETL/ELT pipelines, or analytics platforms
  • Experience with frameworks such as LangChain or LangGraph
  • Prior work in consulting, professional services, or client-facing technical delivery
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
What Success Looks Like
  • Within 30 days: You understand our current tool suite, architecture patterns, and active client engagements. You have shipped something.
  • Within 90 days: You are independently owning technical builds on client projects and contributing to internal product development.
  • Within 6 months: You are setting technical standards for the team, accelerating junior developers, and driving architectural decisions on complex engagements.
Why MGT
You will be joining a team that is actively building and shipping AI products, not talking about them. We have real tools in production, real clients using them, and a leadership team that understands both the technology and the business.
This is a high-visibility role with direct access to senior leadership and the opportunity to shape how AI gets delivered across the organization. We are building the AI practice from the ground up, which means you will have an outsized impact on the tools, processes, and culture of the team.
Our philosophy: clean data foundations first, AI layered on top. Process understanding before automation. Empowering domain experts to build, not centralizing AI capability in a silo. If that resonates with you, this is your team.
NOTE: We currently do not accept candidates who require sponsorship, nor are we able to provide sponsorship opportunities to candidates.
Positions are available in Salt Lake City, Utah; Washington, D.C.; and remote. Remote employees will be expected to travel to an office periodically.

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