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Remote Machine Learning Compiler Engineer Jobs in Vancouver, WA

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

GuideMe

PHP Web Developer

Portland, OR · On-site +1

About GuideMe is currently looking to add a passionate, hard-working PHP developer to our small ... machine learning a plus - Ability to have fun and work hard required.

micro1 AI

AI Trainer - Microbiology Expert

Hillsboro, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Beaverton, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Vancouver, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Gresham, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Portland, OR · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Portland, OR · 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 ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... Professional development and learning opportunities * Opportunity to shape manufacturing technology ...

PacifiCorp

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... learning, and are an excellent communicator, please consider applying. In general, this position ...

PacifiCorp

Engineer

Portland, OR · On-site +1

In addition, your work will potentially take you into the remote and scenic areas of our ... learning, and are an excellent communicator, please consider applying. In general, this position ...

Honor

Staff Data Scientist

Portland, OR · Remote

Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and ... You possess a strong foundation in traditional predictive machine learning (e.g., classification ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Vancouver, WA

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 Aug 6, 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:
Remote Machine Learning Compiler Engineer jobs near you

Senior Site Reliability Engineer (REMOTE)

Discogs

Beaverton, OR • Remote

$140K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 29 days ago

Job description

Senior Site Reliability Engineer (REMOTE)

Department: Engineering

Employment Type: Full Time

Location: REMOTE US

Compensation: $140,000 / year


Description Who We’re Looking For
The Discogs Platform team is focused on several objectives: building and supporting performant, cost-effective, reliable cloud infrastructure; data administration of complex CDC workflows; and developer experience tooling and mentorship, including our agentic AI discipline. As a Platform member, the Senior Site Reliability Engineer will contribute to the Platform team’s centralized infrastructure, including maintenance, monitoring, and automation of services ranging from databases to Kubernetes; lead incident response and postmortem efforts; and work closely with other engineering teams to understand their needs and drive improvements to both our technologies and processes.
Location While we are a remote company we are only hiring for the following locations: OR, WA, CA, CO, TX, IL
Compensation Fixed Position Rate: $140,000
This role carries a single, non-negotiable Fixed Position Rate to ensure absolute equity and eliminate negotiation bias.
Key ResponsibilitiesWhat You’ll AccomplishReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Owning tasks and larger projects from planning to production rollout
  • Learning new technologies and building expertise with the goal of teaching and mentoring others; mentoring with the goal of force-multiplying through docs and tools
  • Maintaining organization cloud presence in AWS
  • Automating and deploying infrastructure configurations using Infrastructure as Code (IAC)
  • Mentoring engineering squads on Platform best practices for Kubernetes, MySQL, Kafka, and other software development lifecycle areas
  • Assisting engineering squads with capacity planning, on-call preparation, and production readiness
  • Writing documentation and runbooks that contribute to the engineering organization’s knowledge base
  • Implementing monitoring and alerting systems with Discogs observability tools
  • Working in a containerized, orchestrated environment
  • Participating in on-call rotation, responding to incidents, and troubleshooting data and other operations issues
  • Contributing to the reliability and design patterns of our Kafka CDC and event workflows
  • Contributing to agentic AI best practices and tooling, including skills, agents, and safety

Skills, Knowledge and ExpertiseWhat You’ll Contribute
Required (or equivalent tools; listed is our current stack):
  • Infrastructure-as-code (Terraform)
  • CI/CD (GitHub Actions)
  • Kubernetes (EKS, Kustomize, Karpenter, administration, application manifests)
  • AWS and cloud development (VPC, EKS, RDS, S3)
  • FinOps and cloud cost optimization
  • Observability (Datadog, Sentry)
  • Agentic AI (Claude Code)
  • Scripting (Shell, Python)
  • Track record of collaboration and mentorship
  • Excellent written communication and documentation skills
  • Continuous learning
  • Ownership and proactive approach to solving large problems
Preferred:
  • Kafka: Cluster administration (Strimzi), Kafka Connect (Debezium, JDBC)
  • Flink
  • Relational database administration and performance (MySQL, Percona Server, AWS RDS)
  • Elasticsearch (ECK administration, scaling, performance)
  • Python (SQLAlchemy, FastAPI)
  • GraphQL (schema design, Apollo federation)
  • REST API
  • GitOps (ArgoCD)
  • Hashicorp Vault
  • Redis
  • Memcached
Education & Experience:
  • A Bachelor\'s Degree in Computer Science or similar area of focus, or equivalent relevant work experience.
  • 5+ years experience in Ops, DevOps, Site Reliability, Platform or other systems roles.

BenefitsWhat We Provide
  • Competitive compensation: salary, plus performance-related bonus program
  • 401(k) with employer match
  • 100% company-paid medical and dental insurance benefits for you and your dependents
  • 4 weeks paid vacation, increasing based on tenure
  • 18 weeks paid leave for birth moms
  • 8 weeks paid parental leave, including for adoption
  • Monthly wellness allowance
  • Annual professional and personal development allowance
  • Work from home office set-up and expense allowances 
  • Flexible work location opportunities 
  • Employer matching toward charitable contributions

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