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Remote Machine Learning Compiler Engineer Jobs in Monmouth, OR

Agility Robotics

Campus Program Recruiter

Salem, OR · On-site +1

$93K - $145K/yr

... AI, engineering, and broader business functions. Program Coordination & Manager Enablement ... Location This is a fully remote role with the option to work hybrid if a commutable distance from ...

Workiva

Spring 2027 Intern - Marketing (MBA)

Salem, OR · On-site +1

$35/hr

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 ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Monmouth, OR

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 Sep 7, 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 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.

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For Remote Machine Learning Compiler Engineer jobs in Monmouth, OR, the most frequently searched job titles are:

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

Remote Machine Learning Compiler Engineer jobs near you

Campus Program Recruiter

Agility Robotics

Salem, OR • On-site, Remote

$93K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Key responsibilities

  • Own the university recruiting strategy and campus program experience end-to-end, including sourcing, outreach, and onboarding of candidates.

  • Support and coordinate program logistics, onboarding, scheduling, and monitor program health across multiple locations.

  • Build and foster a cohesive campus community through events, cultural activities, and facilitating onboarding and milestone moments.

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

You will own our university recruiting strategy and campus program experience end-to-end. This isn't just a seasonal recruiting job—you will drive a continuous, year-round pipeline targeting early-career talent across multiple sites. Your mission is twofold: recruit exceptional campus talent across various teams and create an energized, seamless environment so top students choose Agility for their full-time careers.

About The Work

Recruiting & Pipeline Management

  • Drive Year-Round Sourcing: Own the full candidate lifecycle from initial contact through full-time onboarding. Run continuous outreach to support rolling intake tied to academic calendars and business needs.
  • Anchor Key Partnerships: Deepen relationships with core university partners, leveraging leadership ties to build a trusted pipeline across our footprint.
  • Cast a Wide Net: Source broadly by targeting university programs, competitions, specialized research labs, open applications, and referrals to find top talent nationwide.
  • Focus on Long-Term Impact: Evaluate every candidate with an eye toward full-time career potential, prioritizing high-caliber talent across AI, engineering, and broader business functions.

Program Coordination & Manager Enablement

  • Support Hosting Managers: Serve as a operational partner for managers. Provide lightweight templates for project scoping, check-in cadences, and evaluations so managers can focus on mentorship.
  • Streamline Operations: Handle onboarding, scheduling, and program logistics across all locations so the campus experience remains smooth and consistent.
  • Monitor Program Health: Proactively check in with early-career hires and hiring managers across all sites to resolve friction early and track long-term retention.

Campus Experience & Community

  • Build Cross-Site Culture: Unify our distributed locations through regular rituals, including cross-site demos, informal social gatherings, and speaker/learning sessions.
  • Manage Milestone Moments: Facilitate cohesive onboarding kickoffs, mid-program check-ins, and company-wide presentations.
  • Foster Onsite Energy: Help cultivate a hands-on, highly visible environment where early-career talent works on real systems and solves critical real-world problems from day one.

About You

  • Experience: 3-5+ years in university recruiting, campus programs, or talent acquisition, preferably within high-tech, hardware, AI, or robotics environments.
  • Relationship Builder: Proven track record of developing relationships with university career centers, research labs, student organizations, and academic leadership.
  • Program Management Skills: Highly organized, proactive, and capable of managing logistics, events, and candidate tracking across multiple locations.
  • Candidate-Centric Mindset: Passionate about candidate experience, ensuring students leave as enthusiastic ambassadors for Agility regardless of offer outcomes.
  • Communication: Exceptional presentation and interpersonal skills with the ability to engage business leaders, campus partners, and students alike.

Location

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$93,000—$145,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.