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Remote Machine Learning Compiler Engineer Jobs in Chino Hills, CA

Corvel

Data Scientist II

Irvine, CA · On-site +1

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

YO AI Labs

Mental Health Expert - Remote

Los Angeles, CA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Corvel

Data Science Manager

Irvine, CA · Remote

This individual has expertise in machine learning, statistical modeling, and data visualization to ... This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

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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

Remote Technical Recruiter

Irvine Technology Corporation

Santa Ana, CA • Remote

$50 - $55/hr

Contractor

Posted 12 days ago

Job description

We are seeking an experienced Technical Recruiter to support our client's Experienced Professional hiring teams. This newly created role is focused on building high-quality pipelines for technical talent across Data Science, Data Engineering, Software Engineering, Machine Learning, and Product. The ideal candidate brings a strong combination of corporate in-house recruiting experience, technical recruiting expertise, and the ability to partner with senior business leaders in a fast-paced, highly collaborative environment.
As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact .
 

  • Job Type: 6-month contract
  • Location: remote
  • Compensation: This job is expected to pay about $50-55/hr
  • No Visa Sponsorship Available for this role. No C2C


What You’ll Do:

  • Manage the full-cycle recruitment process for technical positions, partnering closely with hiring managers and business leaders from intake through offer acceptance and candidate onboarding.
  • Develop proactive sourcing strategies to identify and engage top talent across Data Science, Data Engineering, Software Engineering, Machine Learning, Product, and related technical disciplines.
  • Conduct technical recruiter screens, evaluate candidate qualifications, manage pipelines, and deliver exceptional candidate experience throughout the hiring process.
  • Partner with recruiting teams to coordinate interview scheduling, hiring events, offer management, candidate cultivation, and diversity recruiting initiatives while ensuring hiring goals are achieved.
  • Analyze recruiting metrics, identify opportunities for process improvements, and provide consultative guidance to hiring managers while maintaining accurate pipeline reporting.


What Gets You the Job: 

  • 6+ years of full-cycle in-house technical recruiting experience supporting enterprise organizations and partnering with senior stakeholders.
  • Demonstrated success recruiting for technical roles including Data Science, Data Engineering, Software Engineering, Machine Learning Engineering, and Product organizations.
  • Strong direct sourcing expertise with a proven track record of building high-quality talent pipelines and successfully filling difficult-to-source technical positions.
  • Experience working within large consulting organizations or similar enterprise environments is highly preferred (McKinsey, Deloitte, KPMG, Accenture, IBM, or comparable organizations).
  • Bachelor's degree preferred, along with strong communication, organizational, analytical, Excel, and PowerPoint skills, and the ability to manage multiple priorities in a fast-paced environment.


Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey—so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career!
Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

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About Irvine Technology

Sourced by ZipRecruiter

Since 2000, our Women owned company has been delivering what organizations truly need diverse, talented professionals who will take their business to new heights. ITC serves our clients and elevates our candidates through a distinct and unified team together we achieve unrivaled goals and live life to the fullest. With a proven record of creating a strong pipeline of talented candidates, Our team uplifts confident and capable Technology Specialists from one of a kind backgrounds for contract and full time opportunities across the nation.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

2000

Social media

Facebook

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