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Remote Machine Learning Compiler Engineer Jobs in Wareham, MA

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $176K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Technical Leadership & DeliveryPartner with Data Engineering, Cloud/Infrastructure, Enterprise ...

Ocean Spray

Sr. Manager, AI Enablement

Lakeville, MA · On-site +1

$128K - $176K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and ...

Whoi

Post Award Research Administrator

Falmouth, MA · On-site +1

This position offers flexibility with hybrid (partially remote) or fully on-campus work ... Supports an environment for continuous learning, training, and oversight, serving as a liaison ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Wareham, MA

Remote Machine Learning Compiler Engineer information

See Wareham, MA salary details

$78.9K

$176.2K

$215.8K

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

As of Jun 19, 2026, the average yearly pay for remote machine learning compiler engineer in Wareham, MA is $176,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,500.00 and $215,800.00 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 job categories do people searching Remote Machine Learning Compiler Engineer jobs in Wareham, MA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Wareham, MA are:
What cities near Wareham, MA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Wareham, MA with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Distribution Engineer - Senior

Distribution Engineer - Senior

ControlPoint Technologies

Rockland, MA • On-site, Remote

$95K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About the Opportunity

ControlPoint Technologies is seeking a Senior Distribution Engineer to provide project support within our Distribution Design & Field Engineering team. The position will include project design, field inspection, and work order management of overhead and underground distribution projects for electric utility distribution systems.
A Senior Distribution Engineer at ControlPoint provides technical leadership for complex distribution projects. Must have proven knowledge of electric utility distribution systems and projects from the field planning stages, through detailed design and construction. Expertise in power utility standards, distribution overhead facilities, distribution underground facilities, and power utility operations is required.

Projects include:
  • Third Party Attachment Programs
  • Overhead Line Extensions
  • Underground Residential Developments
  • Underground Municipal Design
  • Voltage Conversions & Reconductoring
  • DOT / Road Projects
  • Substation Feeder Getaways
  • Renewable Energy Interconnections
Responsibilities:
  • Performing Field Survey of Distribution Facilities
  • Application of Utility Construction Standards and Requirements
  • Detailed Distribution Design
  • Civil Engineering Profiles of Underground Facilities
  • Permitting and Easement Support
  • Effective communication to project stakeholders
  • Quality Assurance
  • Professional representation of firm ensuring customer confidence
  • Project Management
Qualifications:
  • Bachelor'sDegree in Engineering
  • Minimum of five (5) years' experience in electrical distribution for utilities
  • Experience in Electric Power Distribution Design
  • Excellent Verbal and Written Communication Skills
  • Experience with GIS, STORMS or other Work Management Systems
Benefits:

Salary is just one component of your compensation package; ControlPoint offers the following benefits:

Paid Time Off - Flexible PTO policy balancing personal time and business needs.

Bonus and Incentive Plans - Annual bonus and monthly incentives for qualified employees; subject to company or individual performance.

Company Matched Retirement Plan - Competitive 401(k) Investment Plans that are 100% vested including company contributions.

Comprehensive Insurance - Medical, Dental, Vision, Life and Disability Insurance coverage.

Learning and Development - Access to company paid training, seminars, and events. For those interested in advanced degrees or certifications, Tuition Reimbursement is available.

Professional Licensure - If you are licensed Professional Engineer, ControlPoint covers your licensure fees. If you are seeking professional licensure, ControlPoint covers your training cost and material to support exam preparation.

Hybrid Office Schedule - For qualified employees, a flex / hybrid / in-office schedule or fully remote option is available.

Salary:

The base compensation range for this position is based on education, work experience, licensure, and qualifications.

Base Compensation Annual Range: $95,000 -$134,000


Employment Type: FULL_TIME

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