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Remote Machine Learning Compiler Engineer Jobs in Monmouth, OR

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 ...

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 ...

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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Remote Machine Learning Compiler Engineer information

See Monmouth, OR salary details

$72.6K

$162.1K

$198.5K

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 Monmouth, OR is $162,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $198,500.00 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Monmouth, OR look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Monmouth, OR are:
What cities near Monmouth, OR are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Monmouth, OR with the most Remote Machine Learning Compiler Engineer job openings:

AI Enablement Manager - Workforce Solutions

CAI

Salem, OR • On-site, Remote

$150K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

AI Enablement Manager - Workforce Solutions Req number: R7376 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes.

Our tailor‐made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated AI Enablement Manager ready to take us to the next level! If you have strong program management experience, technical fluency across AI and enterprise systems, and experience driving adoption in workforce or services environments, apply now.

Job Description We are looking for an AI Enablement Manager – Workforce Services to own and drive the execution of enterprise AI enablement initiatives within workforce services and extended workforce environments. This position will be full‐time opportunity and remote . What You'll Do Own and drive end‐to‐end execution of the AI enablement program across multiple concurrent initiatives Serve as the central point of accountability for program delivery, milestones, and outcomes Manage and develop a team of AI enablement professionals, providing coaching, performance direction, and growth opportunities Develop and maintain program roadmaps, milestone plans, and executive‐level status reporting Coordinate across workstreams to manage dependencies, resolve blockers, and maintain alignment with program objectives Track and communicate program KPIs and connect AI outcomes to measurable business value Act as the primary AI enablement champion for business stakeholders within workforce services Engage regularly with non‐technical stakeholders to identify opportunities for AI‐driven improvement Translate business needs into actionable technical concepts and relay technical information back to business partners Proactively manage stakeholder expectations around scope, timelines, and AI capabilities Serve as the first point of contact for business stakeholders on technical questions and triage issues appropriately Collaborate closely with solution engineers, business analysts, and technical teams Participate in solution design discussions to challenge assumptions and advocate for business outcomes Stay current on AI trends, tools, and capabilities to support informed decision‐making Lead change management efforts to drive adoption of AI tools and processes Develop communication plans, training materials, and enablement resources Identify internal champions and early adopters to support peer‐driven adoption Monitor adoption metrics post‐launch and iterate to maximize engagement and impact What You'll Need Required: 5–8 years of experience in program management, product management, or leading technology‐driven initiatives Proven ability to own and drive complex programs end‐to‐end Strong technical fluency across AI, data, cloud, and enterprise technology concepts Experience working directly with non‐technical business stakeholders Demonstrated change management and adoption leadership experience Strong communication, presentation, and organizational skills Ability to manage multiple initiatives in fast‐moving, ambiguous environments Bachelor's degree or equivalent professional experience Preferred: Consulting, managed services, or professional services experience Familiarity with vendor management systems, extended workforce models, staffing operations, or HR technology platforms Exposure to government or public sector clients and regulated environments Experience supporting workforce services or adjacent delivery models Familiarity with AI and machine learning concepts beyond surface level Experience managing cross‐functional technical and business teams Working knowledge of Agile, Waterfall, and hybrid delivery methodologies Relevant program management, change management, or AI‐related certifications Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre‐employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111. $150,000 - $160,000 per Year The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education.

Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. #J-18808-Ljbffr