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Remote Machine Learning Compiler Engineer Jobs in Orem, UT

Stormwater Engineer

Draper, UT ยท 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 ...

Stormwater Engineer

Draper, UT ยท 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 ...

Python Tutor

Provo, UT ยท 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 ...

Python Tutor

Spanish Fork, UT ยท 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 ...

Stormwater Engineer

Draper, UT ยท 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 ...

Linear Algebra Tutor

Provo, UT ยท Remote

$40/hr

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

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

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 ...

Cyber Operations Engineer III

Sandy, UT ยท On-site +1

$91K - $120K/yr

Remote Work: Enjoy the flexibility of working from home while optimizing your work-life balance ... Learn while you earn with award-winning learning platforms. * Paid Time Off: Competitive PTO ...

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Showing results 1-20

Remote Machine Learning Compiler Engineer information

See Orem, UT salary details

$65.2K

$145.6K

$178.2K

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

As of May 31, 2026, the average yearly pay for remote machine learning compiler engineer in Orem, UT is $145,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $178,200.00 per year, depending on experience, location, and employer.

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 Orem, UT? The most popular types of Machine Learning Compiler Engineer jobs in Orem, UT are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Orem, UT? For Remote Machine Learning Compiler Engineer jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Orem, UT look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Orem, UT are:
Senior / Principal Software Development Engineer

Senior / Principal Software Development Engineer

ELB Learning

American Fork, UT โ€ข Remote

$112.20K - $154.60K/yr

Full-time

Posted 3 days ago


Job description

We are seeking a highly experienced Senior / Principal Software Development Engineer to support a large-scale Healthcare Communication Training Platform built on a modern MERN-stack architecture hosted within AWS. This is a hands-on engineering and technical leadership role focused on platform stabilization, architectural improvement, feature development, and long-term scalability.

The ideal candidate brings deep expertise across full-stack JavaScript development, cloud-native AWS environments, and modern application architecture, while also being comfortable operating within complex, fast-moving client environments. This individual will work closely with technical leadership, project management, QA, DevOps, and business stakeholders to drive both ongoing maintenance efforts and new platform enhancements.

This engagement includes ownership across two major phases:

  • Platform stabilization, code audits, defect remediation, and architectural assessment

  • New module development, workflow enhancements, reporting functionality, and platform modernization

The role requires a strong balance of hands-on coding ability, technical strategy, problem-solving, and cross-functional collaboration.


Engagement Details

  • Fully Remote

  • Contract / Consulting Engagement

  • Healthcare & Learning Technology Environment

  • Immediate Interview Availability Preferred

Role Overview

This role combines deep hands-on engineering with technical leadership responsibilities across a cloud-hosted healthcare learning platform deployed on AWS ECS Fargate using ReactJS, Node.js, MongoDB Atlas, and supporting AWS services.

The position will support two key initiatives:

Phase 1 โ€“ Platform Stabilization & Technical Assessment
  • Conduct architecture and codebase audits

  • Resolve critical defects and platform instability

  • Improve environment parity across staging and production

  • Support vendor transition and onboarding activities

  • Improve testing, CI/CD reliability, and operational scalability

Phase 2 โ€“ New Feature & Module Development
  • Lead end-to-end development of new platform modules

  • Extend user management workflows and reporting functionality

  • Improve accessibility compliance across the application

  • Drive scalable engineering standards and best practices


Key Responsibilities

  • Design, develop, test, and deploy scalable full-stack application features and enhancements

  • Conduct detailed audits of existing systems and provide actionable remediation recommendations

  • Lead development of new application modules from architecture through deployment

  • Diagnose and resolve complex platform defects, performance bottlenecks, and deployment issues

  • Maintain and extend AWS-based infrastructure and services including Cognito, Lambda, SQS, DynamoDB, ECS, and related workflows

  • Design and maintain RESTful APIs and backend services using Node.js and Express.js

  • Build and maintain accessible, responsive UI components aligned with WCAG 2.1 AA standards

  • Write and maintain unit, integration, and E2E tests using Playwright, Jest, or Mocha

  • Participate in sprint planning, backlog grooming, architecture discussions, and code reviews

  • Create and maintain technical documentation, architecture diagrams, and environment configuration documentation

  • Collaborate cross-functionally with Product, QA, DevOps, PMs, and stakeholders

  • Identify technical risks and proactively propose mitigation strategies

  • Mentor and support junior and mid-level engineers

  • Support technical onboarding, vendor transition, and platform modernization initiatives

  • Contribute to technical strategy, architecture evolution, and engineering best practices


Required Qualifications

  • 10+ years of software development experience (15+ years preferred for Principal-level candidates)

  • Strong experience building and maintaining production-grade MERN stack applications

  • Expert-level proficiency in:

    • ReactJS

    • Next.js

    • TypeScript

    • Node.js

    • Express.js

    • MongoDB Atlas & Mongoose ODM

  • Hands-on experience with AWS cloud services and distributed systems

  • Experience with CI/CD pipelines using Bitbucket Pipelines, GitHub Actions, GitLab CI, or similar

  • Experience designing scalable cloud-based architectures and troubleshooting production issues

  • Strong understanding of WCAG 2.1 AA accessibility implementation in React applications

  • Experience working in Agile/Scrum development environments

  • Proven ability to independently own major platform components and deliver on schedule

  • Strong written and verbal communication skills


Preferred Qualifications

  • Experience working within EdTech, Healthcare, LMS, or training platform environments

  • Familiarity with SCORM and xAPI standards

  • Experience with vendor-transition or platform onboarding engagements

  • Experience with AWS ECS/Fargate container deployments

  • Familiarity with:

    • AWS Cognito

    • Lambda

    • SQS

    • DynamoDB

    • AWS CDK

    • SendGrid API

  • Experience supporting multi-environment AWS deployments and environment parity remediation

  • Prior technical leadership or mentoring experience strongly preferred


Skills & Competencies

  • Advanced full-stack debugging and problem-solving capability

  • Strong software architecture and system design skills

  • Ability to work effectively within legacy codebases and define modernization strategies

  • Strong technical leadership and mentoring skills

  • Excellent prioritization and time management

  • Quality-focused engineering mindset

  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders

  • Ability to thrive in fast-paced, evolving project environments


Core Technology Stack

Frontend
  • ReactJS

  • Next.js

  • TypeScript

  • HTML5 / CSS3

  • WCAG 2.1 Accessibility Standards

Backend
  • Node.js

  • Express.js

  • RESTful APIs

Database
  • MongoDB Atlas

  • Mongoose ODM

AWS / Cloud
  • ECS Fargate

  • Lambda

  • Cognito

  • SQS

  • DynamoDB

  • AWS CDK

Testing & DevOps
  • Playwright

  • Jest / Mocha

  • Bitbucket Pipelines

  • CI/CD workflows

  • Containerized deployments