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Remote Machine Learning Compiler Engineer Jobs in Albany, OR

CAI

AI Enablement Manager - Workforce Solutions

Salem, OR · On-site +1

$150K - $160K/yr

Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly ... AI and machine learning concepts beyond surface level Experience managing cross‐functional ...

Agility Robotics

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

... learning from demonstration. You will manage a high-performing team of researchers and engineers ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

InfluxData

Director of Finance

Corvallis, OR · Remote

$180K - $230K/yr

Developers can query and analyze their time-stamped data in real-time to discover, interpret, and ... InfluxData is a remote-first company with a globally distributed workforce. For more information ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Albany, OR

Remote Machine Learning Compiler Engineer information

See Albany, OR salary details

$74.8K

$167.1K

$204.6K

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

As of May 30, 2026, the average yearly pay for remote machine learning compiler engineer in Albany, OR is $167,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,700.00 and $204,600.00 per year, depending on experience, location, and employer.

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.

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 most commonly searched types of Machine Learning Compiler Engineer jobs in Albany, OR? The most popular types of Machine Learning Compiler Engineer jobs in Albany, OR are:
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Remote Machine Learning Compiler Engineer jobs near you
React.js / Svelte Engineer - Remote Job

React.js / Svelte Engineer - Remote Job

EnthuZiastic

Salem, OR • Remote

Full-time

Posted 8 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities:

  • Developing new user-facing features using React.js

  • Building reusable components and front-end libraries for future use

  • Translating designs and wireframes into high quality code

  • Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Our Tech Stack:

  • Svelte.js

  • React.js

  • Jest.js (Testing)

  • Tailwind

  • Typescript

  • GraphQL

  • Flutter

  • Terraform

  • Elixir / Node.js

  • AWS / Azure Cloud

Requirements

  • 2+ years of experience in React / Angular / Web Frameworks, Jest (unit testing).

  • Having GraphQL experience is a big plus.

  • Having Svelte experience is a big plus.

  • An excellent team player.

  • Constantly thinking about improving the current code, usability, user experience. Having laser focus on making the app super amazing and helping the team and company succeed.

  • Excellent communication and interpersonal skills. In the new world of work from home, we expect the ideal candidate to over-communicate.

  • Humility, collaboration, time management, and communication are as important as your technical skills.

  • Analytical thinker with exceptional problem-solving skills.

  • Excited about writing quality code, trying new technologies, and playing well with others.

  • Solid understanding of engineering and design best practices, especially as it relates to scaling high traffic and data heavy applications.

  • Previous experience with designing, building, and scaling an application to support load changes related to growth.

  • Comfortable in dealing with complexity, lots of moving pieces, coordinating with third parties, and cross-functional teams.

  • Exquisite attention to detail, ability to identify and solve edge-cases.

  • Comfortable learning new technologies and systems.

Do Not Apply If:

  • If you haven’t used Git yet.

  • You are not comfortable with startups that move fast! We’re a small group (~40) of passionate individuals who are determined to change the status quo!

Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley

  • Fun-loving environment and caring team mates and inclusive culture of the company

Apply