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Remote Machine Learning Compiler Engineer Jobs in Everett, WA

Scowtt Inc

Intern - ML Engineering

Seattle, WA · On-site +1

$25 - $45/hr

... in Machine Learning and Data Science to join our diverse team. In this Hybrid or remote role, you ... Collaborate with engineers to integrate ML models into AI agents * Debug, optimize, and improve ...

Wsgr

Innovations and AI Solutions Engineer

Seattle, WA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

... engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and ... Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning ...

Nintendo

Sr Engineer, ML (NTD)

Redmond, WA · On-site +1

$117K - $160K/yr

Significant experience with modern machine learning, frameworks, and Python. * Practical experience ... This position is onsite in Redmond, WA, and not open to remote status at this time.

Paradigm

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Databricks

Senior Software Engineer - Backend

Bellevue, WA · On-site +1

$138K - $182K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ... Build Databricks serverless platform that powers the big data, machine learning and Gen AI ...

Uber

Staff Software Engineer

Seattle, WA · On-site +1

This role is ideal for a strong software engineer with a machine learning background who is excited to apply ML/GenAI techniques to real-world security problems at scale.The security landscape ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Everett, WA

Remote Machine Learning Compiler Engineer information

See Everett, WA salary details

$82.9K

$185K

$226.5K

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

As of Jun 28, 2026, the average yearly pay for remote machine learning compiler engineer in Everett, WA is $184,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,000.00 and $226,500.00 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 Everett, WA? For Remote Machine Learning Compiler Engineer jobs in Everett, WA, the most frequently searched job titles are:
What cities near Everett, WA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Everett, WA with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Software Engineer - AI Coding Expert

Software Engineer - AI Coding Expert

micro1 AI

Seattle, WA • Remote

$40 - $85/hr

Part-time

Posted 16 days ago

Job description

Job Title: Senior Software Engineer


Job Type: Contractor

Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Contribute expert-level knowledge to bug fixing, feature implementation, codebase refactoring, and performance optimization across a range of programming languages.
  2. Analyze and enhance software codebases to ensure clarity, maintainability, and efficiency.
  3. Collaborate with multidisciplinary teams to provide feedback and insights for AI model improvement.
  4. Develop robust solutions and document best practices to support scalable AI training workflows.
  5. Evaluate existing system architecture and recommend technical strategies for optimal results.
  6. Deliver clear, concise written and verbal communication regarding technical findings and project progress.
  7. Support the continuous improvement of AI systems by providing real-world coding expertise in challenging scenarios.



Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.



We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Apply