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Remote Machine Learning Compiler Engineer Jobs in Utah

Varsity Tutors

Python Tutor

Provo, UT · 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

Python Tutor

Spanish Fork, UT · 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

Python Tutor

Logan, UT · 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

Python Tutor

Cedar City, UT · 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 ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

Strong analytical and programming skills in deep learning using frameworks and tools for machine ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

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 ...

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 ...

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

Remote Machine Learning Compiler Engineer information

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 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

Lead Software Architect, AI & Platform Innovation

NICE

Sandy, UT • Remote

Full-time

Re-posted 24 days ago

Job description

Lead Software Architect AI & Platform Innovation
Remote (U.S.)
Help Define the Next Generation of AI-Powered Customer Experience
We're looking for a highly technical, hands-on Lead Software Architect to help shape the future of our cloud contact center platform.
This is not a traditional ivory-tower architecture role.
You'll work across engineering, product, and platform teams to solve complex technical challenges, create architectural direction for strategic initiatives, and rapidly prototype ideas that become customer-facing capabilities. You'll have the opportunity to influence the future of AI within a large-scale contact center ecosystem while helping establish an architecture practice that will grow around you.
If you're the kind of architect who still loves building, experimenting, coding, and turning ideas into working solutions, we'd love to talk.
Why This Role Is Exciting
  • Help build the next generation of AI-powered customer engagement solutions
  • Influence architecture across a large-scale cloud platform
  • Partner directly with senior engineering leaders, architects, and product teams
  • Prototype new capabilities and accelerate innovation from concept to production
  • Be one of the foundational members of a growing architecture organization
  • Work on high-impact initiatives that span multiple engineering teams and product areas
  • Shape how AI is incorporated into customer experience and contact center technologies
What You'll Do
  • Define architecture and technical direction for key platform initiatives
  • Partner with engineering managers, architects, product leaders, and development teams across the organization
  • Translate business and product capabilities into scalable technical solutions
  • Create architectural designs, prototypes, and proof-of-concepts that accelerate delivery
  • Evaluate emerging AI technologies and identify opportunities to improve products and engineering effectiveness
  • Drive technical decisions across cloud-native systems and distributed architectures
  • Mentor engineers and influence best practices without direct people management responsibility
  • Contribute hands-on code and technical solutions when needed
  • Serve as a trusted technical leader across multiple product domains
What Makes Someone Successful Here
You are:
  • Highly self-directed and comfortable operating with broad ownership
  • Equally comfortable discussing strategy and writing code
  • Able to quickly understand complex systems and identify opportunities for improvement
  • Curious about AI and actively applying modern AI tools and techniques
  • Passionate about building products, not just reviewing designs
  • Skilled at influencing teams and gaining alignment across organizations
  • Energized by solving ambiguous, high-impact technical challenges
Required Qualifications
  • 10+ years of software engineering experience with progressive technical leadership
  • Significant software architecture experience in large-scale SaaS or cloud environments
  • Strong hands-on development background in Java
  • Strong experience with AWS
  • Experience designing distributed, scalable, highly available systems
  • Experience working across multiple engineering teams and technical stakeholders
  • Demonstrated ability to move from concept through implementation
  • Strong understanding of modern software engineering practices and cloud-native architectures
Preferred Qualifications
  • Contact Center as a Service (CCaaS) experience
  • Customer experience, communications, telephony, workforce engagement, or customer interaction platform background
  • AI, machine learning, generative AI, agent-assist, automation, or analytics experience
  • Experience building prototypes and validating new product concepts
  • Prior experience serving as a lead architect or principal engineer in a SaaS organization
Ideal Backgrounds
We are especially interested in architects coming from:
  • CCaaS providers
  • Customer experience platforms
  • Enterprise SaaS organizations
  • Communications and telephony technology companies
  • Cloud-native software companies building AI-enabled products
What Will Set You Apart
  • Deep understanding of the contact center industry and where it is headed
  • A track record of turning architecture into working products
  • Strong AI fluency with practical implementation experience
  • Evidence of delivering technical innovation, not simply documenting solutions
  • The ability to identify business opportunities and transform them into scalable platform capabilities

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