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Remote Machine Learning Compiler Engineer Jobs in Boston, MA

Machine Learning Systems Engineer

Boston, MA ยท On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Sr. Lead Machine Learning Engineer

Cambridge, MA ยท On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Software Engineer, Machine Learning

Boston, MA ยท On-site +1

$150K - $215K/yr

... machine learning models and algorithms into production. Will also accept a Master's degree in Computer Science, Data Science, Software Engineering or related technical field (or foreign degree ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

ASUS Robotics & AI Center Senior Machine Learning Engineer The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role ...

Lead Machine Learning Engineer - REMOTE

Boston, MA ยท Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Lead Machine Learning Engineer - REMOTE

Boston, MA ยท Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Lead Machine Learning Engineer - REMOTE

Boston, MA ยท On-site +1

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

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Showing results 1-20

Remote Machine Learning Compiler Engineer information

See Boston, MA salary details

$81.5K

$181.9K

$222.7K

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 Boston, MA is $181,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,400.00 and $222,700.00 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 are the most commonly searched types of Machine Learning Compiler Engineer jobs in Boston, MA? The most popular types of Machine Learning Compiler Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Boston, MA? For Remote Machine Learning Compiler Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Boston, MA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Boston, MA with the most Remote Machine Learning Compiler Engineer job openings:
Machine Learning Operations Engineer

Machine Learning Operations Engineer

Modulate

Somerville, MA โ€ข On-site, Remote

$150 - $200K/hr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform - APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Machine Learning Operations Engineer to own and scale the production inference systems behind Modulate's machine learning models. This role will focus on ensuring high availability, reliability, and efficiency of deployed models across our APIs and enterprise products as we rapidly grow in customer usage and model demand.

Your Impact

  • Own the reliability and performance of ML model inference systems in production

  • Ensure high availability of deployed models across APIs and enterprise products

  • Build systems to handle scaling, load variability, and production traffic growth

  • Reduce operational burden through better tooling, automation, and processes

  • Help define how Modulate runs ML systems at scale with reliability and efficiency

What You Will Do

  • Deploy, monitor, and maintain production machine learning inference systems

  • Oversee fleets of inference machines and ensure system health and performance

  • Design monitoring, alerting, and incident response systems for ML workloads

  • Participate in on-call rotations and lead incident response and debugging

  • Build systems and processes for scaling inference infrastructure under variable load

  • Improve reliability and observability of production ML services

  • Collaborate on infrastructure-as-code for production deployments

  • Support or contribute to GPU-based training and inference infrastructure

  • Work closely with ML and engineering teams to ensure smooth model deployments

  • (Optional growth area) Optimize model inference performance and latency

What We Are Looking For

  • Experience deploying and maintaining production software systems

  • Experience building monitoring and alerting systems for production environments

  • Experience with on-call rotations and incident response

  • Strong experience with AWS, Python, and Linux

  • Exposure to PyTorch or similar ML frameworks

  • Experience working with GPU-based applications and basic GPU tooling (drivers, runtime, monitoring)

  • Strong debugging and systems thinking skills

  • Ability to operate calmly in production incident environments

Nice to Have

  • Experience with ML model serving systems or dedicated model servers

  • Experience monitoring GPU performance for inference workloads

  • Experience optimizing machine learning model inference

  • Familiarity with audio or multimedia data (codecs, streaming, real-time systems)

  • Experience with infrastructure-as-code (e.g., Terraform, CloudFormation)

Benefits

  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in-office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued learning support

  • Up to 8 weeks work-from-anywhere policy

  • A deeply inclusive, human-centered culture

Pay Transparency
Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

  • Salary: $150-$200K

  • Equity: Offered

  • Other perks: HSA, FSA, 15 holidays, professional growth resources

About Modulate
Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond-and we're growing fast. We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people-and we're building technology that does the same.

Ready to join us? Apply here or reach out directly-we're excited to meet you.

A quick note as you apply

  • Please apply through the website rather than emailing [emailย protected]

  • For application questions ("Your fit for the role," "Your values/goals," "Why Modulate?"), focus on relevant experience and motivations

  • Avoid including protected demographic information

  • Keep responses authentic and in your own voice

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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