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Remote Machine Learning Compiler Engineer Jobs in Hermosa Beach, CA

BEARCloud, Inc.

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AI Compiler Engineer

Los Angeles, CA · Remote

$190K - $255K/yr

BEARCloud is seeing an AI Compiler Engineer for one of our clients to spearhead the efforts in ... Implement parsing, semantic analysis, and IR generation for deep learning frameworks. * Research ...

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BEARCloud, Inc.

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AI Compiler Engineer

Los Angeles, CA · Remote

$190K - $255K/yr

BEARCloud is seeing an AI Compiler Engineer for one of our clients to spearhead the efforts in ... Implement parsing, semantic analysis, and IR generation for deep learning frameworks. * Research ...

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BEARCloud, Inc.

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AI Compiler Engineer

Los Angeles, CA · Remote

$190K - $255K/yr

BEARCloud is seeing an AI Compiler Engineer for one of our clients to spearhead the efforts in ... Implement parsing, semantic analysis, and IR generation for deep learning frameworks. * Research ...

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Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Hermosa Beach, CA

Remote Machine Learning Compiler Engineer information

See Hermosa Beach, CA salary details

$79.9K

$178.3K

$218.3K

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

As of Aug 20, 2026, the average yearly pay for remote machine learning compiler engineer in Hermosa Beach, CA is $178,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $218,300.00 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 Hermosa Beach, CA look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Hermosa Beach, CA are:

What cities near Hermosa Beach, CA are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near Hermosa Beach, CA with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Hermosa Beach, CA as of August 2026, with employment types broken down into 16% Internship, 36% Full Time, 16% Part Time, and 32% Contract. Highlights an 100% Remote job distribution, with an average salary of $178,326 per year, or $85.7 per hour.

AI Compiler Engineer

BEARCloud, Inc.

Los Angeles, CA • Remote

$190K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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Job description

BEARCloud is seeing an AI Compiler Engineer for one of our clients to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on Inference Accelerators. 


Responsibilities

Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.

  • Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges.
  • Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations.
  • Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).
  • Implement parsing, semantic analysis, and IR generation for deep learning frameworks.
  • Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers.
  • Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. 


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (Ph.D. preferred).
  • 3+ years in compiler development, with a strong focus on AI or ML graph compilers.
  • Proficiency in AI graph compiler frameworks (e.g., MLIR, Torch-FX)
  • Solid background in hardware architectures (e.g., GPUs, TPUs, ASICs) and optimization techniques such as fusion, quantization, and tiling.
  • Familiarity with neural networks operators and code generation.
  • Strong understanding of intermediate representations, code parsing, and semantic analysis in compiler design.
  • Proficiency in C++, Python, or other programming languages commonly used in compiler development.
  • Open-source contributions to AI software frameworks and libraries is a plus
  • Demonstrated experience leading and mentoring engineering teams with successful project delivery. 

Company Description

BEARCloud empowers organizations to modernize and optimize their IT ecosystems through innovation, deep expertise, and strategic partnerships. We deliver comprehensive, end-to-end solutions across AI Services, Cloud, Professional Services, Cybersecurity, Managed Services, Managed Personnel Resources and Low-Voltage Contracting. We also specialize in other industries like Healthcare, Manufacturing and Aviation.