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Remote Machine Learning Compiler Engineer Jobs in Albany, OR

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... remote work . Here's What You'll Do * Work with a team of highly skilled experts to come up to ...

The work model for the role is Remote based out of Florida, USA. This role is contributing to the ... Currently enrolled in a bachelor's or master's degree program in Engineering, Business, Marketing ...

... Engineering, and Finance * Apply XBRL tagging information to financial statements and statement ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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 ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 21-40

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 Sep 7, 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 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.

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 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 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:

What cities near Albany, OR are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Albany, OR with the most Remote Machine Learning Compiler Engineer job openings:

Spring 2027 Intern - Sales Enablement

Workiva

Salem, OR • On-site, Remote

$21/hr

Full-time

Retirement

Posted 5 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Sales Enablement Intern GTM Tech Stack supports various platforms within the sales enablement team. You will contribute to the ongoing development and effectiveness of the sales team's learning and enablement initiatives.

What You'll Do

  • Tool Maintenance: Help manage tools like CRM, enablement automation, and data enrichment platforms.
  • Data Quality: Clean and update contact lists, fix data errors, and keep records accurate.
  • Workflow Support: Build and test basic automation rules, email sequences, or lead routing.
  • Team Training: Write simple guides and help staff use software correctly.
  • Reporting: Pull data and build basic dashboards to track team performance.

What You'll Need

Minimum Qualifications

  • Must be currently enrolled in a degree-seeking program, preferably in technology, sales, computer science, information technology, business, or related programs.

Preferred Qualifications

  • Excellent verbal, written, and interpersonal communication skills.
  • Self-motivated with strong propensity for action, results and continuous improvement.
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment is necessary.
  • Exceptional organizational skills with the ability to multitask and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Examples of your work you can showcase to our team.
  • Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn, others.

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October Offers: Mid to late October

2027 Start Dates:

Our positions have opportunities that start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $21.00 - $21.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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