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Remote Machine Learning Compiler Engineer Jobs in Vancouver, WA

We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Lead Power Systems Engineer 2

Portland, OR · On-site +1

$134K - $205K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... We also value additional learning, such as a minor, certificate, or other experience in Computer ...

Lead Power Systems Engineer 2

Portland, OR · On-site +1

$134K - $205K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... We also value additional learning, such as a minor, certificate, or other experience in Computer ...

VP of Security

Vancouver, WA · On-site +1

$240K - $300K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Partner closely with IT, Engineering, Product, and Platform teams to embed secure development ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

See Vancouver, WA salary details

$78.5K

$175.3K

$214.6K

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

As of Jul 27, 2026, the average yearly pay for remote machine learning compiler engineer in Vancouver, WA is $175,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,700.00 and $214,600.00 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Vancouver, WA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Vancouver, WA with the most Remote Machine Learning Compiler Engineer job openings:
Lead AI Software Engineer

Lead AI Software Engineer

Epiq

Portland, OR • Remote

Full-time

Posted 5 days ago


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

138th of 230 rated it services


Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

Epiq is seeking a highly skilledLead AI Software Engineerto join our Operations Engineering team. This role is ideal for candidates who are passionate about building applied AI systems-not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.

You'll work at the intersection of software engineering and AI, leveraging modern technologies such asGenAI,LLMs,MCP servers, andagentic frameworksto build scalable, production-ready solutions. This role will also champion modern development practices and utilizeAzure DevOpsfor agile delivery and ticketing.

Key Responsibilities

  • Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.

  • Integrate GenAI and LLMs into applications via APIs and microservices.

  • Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.

  • Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.

  • Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency.

  • Apply prompt engineering techniques to optimize model interactions and outcomes.

  • Ensure compliance, security, and ethical standards in all AI development.

  • Document processes, architectures, and best practices in Epiq's internal knowledge base.

  • Integrate external products with Epiq's proprietary solutions.

  • Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Qualifications & Experience

  • Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.

  • Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).

  • Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.

  • Familiarity with cloud platforms (Azure/AWS) and their AI services.

  • Experience with API development, microservices architecture, and CI/CD pipelines.

  • Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps.

  • Solid understanding of software engineering principles, data structures, and algorithms.

  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders.

  • Bachelor's degree in Computer Science or related field (or equivalent experience).

#LI-KS1 #LI-Remote

The Compensation range for this role is 120,000 to 170,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

  • Use storytelling to build buy-in

  • Align communication with organizational goals

  • Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.

  • Use data to identify improvement opportunities

  • Make informed decisions

  • Align team goals with boarder strategy

  • Empower teams to manage their own goals

  • Translate vision into clear priorities

  • Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

  • Improve workflows for team efficiency

  • Use clear documentation and expectations

  • Resolve issues quickly using data and feedback

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


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