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Remote Machine Learning Compiler Engineer Jobs in Somerset, PA

Remote Machine Learning Compiler Engineer information

See Somerset, PA salary details

$73.8K

$164.7K

$201.7K

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

As of Jul 13, 2026, the average yearly pay for remote machine learning compiler engineer in Somerset, PA is $164,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,700.00 and $201,700.00 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 cities near Somerset, PA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Somerset, PA with the most Remote Machine Learning Compiler Engineer job openings:
Sr Application Engineer Machine Tool Industry

Sr Application Engineer Machine Tool Industry

Kennametal, Inc.

Latrobe, PA • Remote

Full-time

Posted 18 days ago


Kennametal rating

7.2

Company rating: 7.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

279th of 430 rated machine equipment manufacturers


Job description

  About Kennametal

With over 85 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace and defense, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Learn more at kennametal.com. Follow @Kennametal: Instagram, Facebook, LinkedIn and YouTube.

Sr Application Engineer Machine Tool Industry

Location - Remote within US or Mexico

Job Summary

This position supports the team or district with technical tooling and all product application solutions. A Senior Application Engineer serves as a valuable resource and a leader within the sales territory. This position is more mature in experience and expertise, as well as thoroughly knowledgeable in the metal cutting industry; as such, the incumbent is expected to carry customer accounts, take on large strategic projects, act as a trainer/mentor for a less experienced team members, and step up as interim leader when needed.

Key Job Responsibilities

  • Support the Machine Tool Industry business and technically support key accounts and projects
  • Lead and manage customer projects (turnkey, tooling, process improvements)
  • Define & support project management scope, objectives, timelines, and deliverables
  • Coordinate cross-functional teams (engineering, manufacturing, sales, etc) for project management
  • Understand customers' business, technology, and product requirements and appropriately match Kennametal tooling solutions, products and services to meet customer needs
  • Exceed customer expectations relative to Kennametal service levels and technical know-how and value-added services
  • Perform sales forecasting, account planning and other administrative tasks that will profitably grow the business
  • Understand and utilize company resources
  • Show continuous improvements in technical, product and selling skills Maintain high impact customer relationships with current accounts to expand market share

Education, Work Experience, Skills, Certificates

  • Bachelors degree in mechanical or manufacturing engineering or equivalent working experience in industry
  • 5 to 7 plus years of successful field or manufacturing experience in the metal cutting industry;
  • Experience working with OEM machine tool builders preferred
  • Experience working in an extensive technical manufacturing environment
  • Proficient in identifying and assessing customer needs
  • Competent in understanding and communicating all products and technical information
  • Able to understand and communicate complex contract conditions
  • Able to work independently with little supervision
  • Well developed interpersonal skills enabling teamwork and clear communication 
  • Valid driver's license

 Kennametal Inc. is an Equal Employment Opportunity employer.


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