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Remote Machine Learning Compiler Engineer Jobs in Chino Hills, CA

Vocalytics

Sr. Full Stack Engineer

Newport Beach, CA · On-site +1

Our engineering team supports multiple hospitals, commercial real estate, and other enterprise ... We also have teams working on embedded systems, computer vision, machine learning, mobile ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

YO AI Labs

Backend Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

YO AI Labs

AI Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

DataAnnotation

Programmer - AI Trainer

Los Angeles, CA · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Chino Hills, CA

Remote Machine Learning Compiler Engineer information

See Chino Hills, CA salary details

$76.2K

$170K

$208.2K

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

As of Sep 2, 2026, the average yearly pay for remote machine learning compiler engineer in Chino Hills, CA is $170,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,200.00 and $208,200.00 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Chino Hills, CA look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Chino Hills, CA are:

What cities near Chino Hills, CA are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Chino Hills, CA with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you

Principal Data Scientist - Remote / Telecommute

CYNET SYSTEMS

Aliso Viejo, CA • Remote

$75 - $80/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description

Job Overview:

Pay Range: $75.00hr - $80.00hr

Requirement/Must Have:

  • 12+ years in AI, machine learning, advanced analytics, data science, or AI transformation leadership.
  • Healthcare domain experience is required, with healthcare payer, claims, member experience, G&A, audit, or regulatory workflow exposure preferred based on track assignment.
  • Experience defining AI strategy, ML/AI use cases, data readiness, governance, and analytics roadmaps.
  • Healthcare payer, process mining, automation, or agentic AI experience preferred.

Responsibilities:

  • Define the AI Client strategy and identify high-value agentic AI opportunities across CXI Client tracks.
  • Guide process mining, analytics, data readiness assessment, and use case prioritization efforts.
  • Develop agentic AI solution roadmap concepts, implementation considerations, governance needs, and success measures.
  • Partner with business, architecture, and delivery teams to validate feasibility, value, risk, and adoption considerations.
  • Prepare executive-level AI findings, opportunity narratives, and roadmap recommendations.

Nice to Have:

  • Master’s or PhD in Data Science, AI, Computer Science, Statistics, or related field preferred.

Skills:

  • AI.
  • AI strategy.
  • Agentic AI roadmap.
  • Advanced analytics.
  • Process mining leadership.
  • AI governance.
  • Executive advisory.
  • Opportunity prioritization.
  • Machine learning.
  • Data science.
  • Data readiness assessment.

Qualification And Education:

  • 12+ years in AI, machine learning, advanced analytics, data science, or AI transformation leadership.
  • Master’s or PhD in Data Science, AI, Computer Science, Statistics, or related field preferred.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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