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Remote Machine Learning Compiler Engineer Jobs (NOW HIRING)

Lemurian Labs

Senior DSL Engineer

Santa Clara, CA · On-site +1

$143K - $189K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role We are building a domain-specific language and compiler toolchain for programming machine learning models. As a Senior DSL Compiler Engineer, you will focus on the compiler frontend ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

  • Medical

  • Life

  • Retirement

  • PTO

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Paylocity

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is a fully remote position, allowing you to work from home or location of record within the U ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Machine Learning EngineerJob Summary We are looking for a talented Machine Learning Engineer to ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

Orchard LLC

Machine Learning Engineer

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required * BS, MS, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Machine Learning, AI ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

Fastly

Senior Engineer - VCL Compiler

Denver, NY · On-site +1

$181K - $217K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job posting may close early due to the volume of applicants. Sr Software Engineer, VCL Compiler We ... However, we may be willing to consider exceptionally qualified remote candidates within the US.

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Lemurian Labs

Compiler Code Gen Engineer

They are seeking a Compiler Code Generation Engineer to design and build core code generation ... machine learning workloads and their hardware demands. Company : Any workload. Any hardware. Any ...

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

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Remote Machine Learning Compiler Engineer information

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$75K

$167.4K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning compiler engineer in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.

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.

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Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $167,438 per year, or $80.5 per hour.

Senior DSL Engineer

Lemurian Labs

Santa Clara, CA • On-site, Remote

$143K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 7 days ago

Job description

About Us
At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster.
We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law.
We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us.
About the Role
We are building a domain-specific language and compiler toolchain for programming machine learning models.
As a Senior DSL Compiler Engineer, you will focus on the compiler frontend: scanning, parsing, AST design and construction, compiler passes, type and shape inference, and error and warning reporting. You should be deeply comfortable reasoning about object ownership and lifecycle management in C++, and be prepared to work within a custom ARC system with semantics similar to the standard smart pointer types.
What You'll Do
  • Design and implement compiler frontend components including the lexer, parser, abstract syntax tree, and compiler passes.
  • Design and implement type inference and shape inference systems for the DSL.
  • Design clear, actionable error and warning diagnostics that help users understand and resolve problems in their programs.
  • Work within and extend a proprietary automatic reference counting system that governs memory management across the frontend.
  • Participate in code reviews to maintain code quality and ensure sound design decisions.
  • Collaborate through pair programming sessions.
  • Contribute to the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing.
  • Help inform the design of future DSLs as the platform expands to other scientific computing domains.
Requirements
Essential Skills and Experience
  • BS degree in Computer Science, Computer Engineering, or equivalent practical experience
  • Extensive experience designing and implementing domain-specific languages.
  • Deep expertise in compiler frontend engineering: lexical analysis, parsing, AST design, semantic analysis, and compiler passes.
  • Strong experience with type inference and shape inference systems.
  • Strong professional C++ background with modern C++ standards.
  • Deep understanding of automatic reference counting concepts and object lifetime management in C++, including thorough familiarity with the semantics of shared_ptr, weak_ptr, and unique_ptr. The frontend uses a proprietary ARC implementation with similar semantics, and you must be comfortable reasoning about ownership, reference cycles, and clean teardown in this kind of system.
  • Experience designing compiler diagnostics (errors and warnings) that are clear and useful to end users.
  • Experience across the full software engineering lifecycle: product specification, requirements gathering, high-level design, low-level design, implementation, and testing.
  • General familiarity with GPUs or other accelerator devices and their role in high-performance computing and machine learning workloads.
Preferred Skills and Experience
  • Master's or PhD in Computer Science, Computer Engineering, or equivalent
  • Experience with or willingness to use AI-assisted code generation tools in day-to-day development.
  • Familiarity with PyTorch or similar machine learning frameworks.
  • Experience with Python language internals or strategies for subsetting Python-like languages.
Why Join Lemurian Labs
  • Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance
  • Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures
  • Collaborate with a team that treats infrastructure as a canvas and optimization as a craft
  • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits

Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.
Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

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