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Remote Machine Learning Compiler Engineer Jobs in Norman, OK

Business Analyst

Oklahoma City, OK ยท On-site +1

$51K - $74K/yr

Knowledge of basic computer programming concepts such as configuration, development and batch ... Fully remote options from Contiguous US locations only * Video cameras must be used during all ...

Project Manager

Norman, OK ยท On-site +1

This position is remote. Shape the Future of Online Learning with OU Education Services: OU ... Validate proposed solutions against documented requirements with developers, architects, and ...

Our industry-leading experts in engineering and consulting are committed to driving positive change ... Remote Work: Administrative and reporting tasks may be completed remotely when not on active job ...

Showing results 41-47

Remote Machine Learning Compiler Engineer information

See Norman, OK salary details

$65.5K

$146.3K

$179.1K

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

As of Aug 8, 2026, the average yearly pay for remote machine learning compiler engineer in Norman, OK is $146,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $179,100.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Norman, OK? For Remote Machine Learning Compiler Engineer jobs in Norman, OK, the most frequently searched job titles are:
What cities near Norman, OK are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Norman, OK with the most Remote Machine Learning Compiler Engineer job openings:

Field Service Engineer - AV, USA

Evertz Microsystems Limited

Oklahoma City, OK โ€ข Remote

Full-time

Re-posted 27 days ago


Job description

Evertz, a growing high-technology company with over 2,000 employees today, is a worldwide leader in the design and manufacture of broadcast, film production and post production equipment for the film, television broadcast and Professional Audio & Video industry.
We are currently looking for recent graduates to join our AV Service team. As the first and often the most frequent point of contact for our clients, you will have the greatest opportunity to influence the client's perception of Evertz. This position is a challenging yet rewarding mix that combines technical know-how and customer service skills. You will be part of a high-energy team dealing with exciting customers and cutting-edge products both in-house and while on-site at our customers’ production studios and distribution facilities.
Position requires travel within the US. US home location is flexible with opportunity to work from home when not on field assignments

Responsibilities:
  • Travel within the US for customer deployments and general service
  • Install product(s) or systems at customer sites and deliver product training to customers
  • Respond and provide technical direction to customers regarding operational issues, firmware upgrades and general maintenance
  • Assess customer’s product application, troubleshoot and diagnose issues through research and/or re-creation to determine a root cause
  • Systematic & detail-oriented troubleshooting, data collection and reporting of issues
  • Maintain a communication link between customer service and other departments by partnering to resolve customer issues and communicating customer feedback
Qualifications:
  • College or University education in Electrical, Electronic, or Computer disciplines
  • Passion for technology and learning new software and hardware products
  • Hands-on experience with IP Networking, server hardware and Linux OS
  • Unparalleled desire to help customers and deliver service excellence
  • Problem-solving ability while reacting to changing situations, & championing issues to resolution
  • Ability to multi-task in a fast-paced environment
  • Strong verbal and written communication skills
  • Must be eligible for travel within US and Canada
  • US Citizenship is essential

Location: Remote work possibility for any US State

What We Offer:

  • Employer funded benefits program 
  • Competitive total compensation package
  • Work-Life Balance
  • Career Progression 
  • Casual Work Environment 

Evertz USA Inc. (Evertz) is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate, support, and value diversity!

Evertz does not discriminate in employment or recruiting efforts on the basis of race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.

All employment decisions are decided based on qualifications, merit, and business needs.

If you are selected for an interview and you require accommodation due to a disability during the recruitment process, please notify Human Resources upon scheduling your interview.

Thank you for considering a career with Evertz!

Please note, this email address will only respond to requests regarding privacy concerns. This inbox will not respond to job applications, resumes, or questions regarding an application. When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing privacy@evertz.com. Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at privacy@evertz.com. Your personal data will be processed for the purposes of managing Controller’s and its' subsidiaries' and affiliates' recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

A complete privacy policy can be found at https://evertz.com/contact/privacy/

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

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EvertzAV logo

About EvertzAV

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Burlington, ON, CA

Year founded

2013