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Freelance Machine Learning Compiler Engineer Jobs in Berkeley, CA

Senior Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch ...

Deep Learning Compiler Engineer

Burlingame, CA · On-site +1

$110K - $270K/yr

... a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and ... Role As a senior member of our platform software engineering team, you will be tasked with lowering ...

Senior ML Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... Experience developing and deploying machine learning models Compensation: The compensation ...

You will work on a custom ML compiler that transforms modern ML and DSP models into highly ... Understanding of deep learning models (conv, sequence models, etc.) * Ability to reason about ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

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Freelance Machine Learning Compiler Engineer information

See Berkeley, CA salary details

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How much do freelance machine learning compiler engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for freelance machine learning compiler engineer in Berkeley, CA is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $29.71 and $75.62 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Compiler Engineer vs Freelance Software Developer?

AspectFreelance Machine Learning Compiler EngineerFreelance Software Developer
Required SkillsMachine learning frameworks, compiler optimization, programming (C++, Python)General programming, software design, various languages
Work EnvironmentProject-based, remote, often technical teams in AI/ML industryVaried industries, remote or on-site, broad application areas
Industry UsageAI/ML companies, research labs, tech firmsTech, finance, healthcare, startups, enterprise

Freelance Machine Learning Compiler Engineers focus on optimizing ML models for deployment, requiring specialized knowledge in ML frameworks and compiler technology. Freelance Software Developers have broader roles across various industries, working on diverse software projects. Both roles are in high demand but differ in technical focus and industry application.

What are popular job titles related to Freelance Machine Learning Compiler Engineer jobs in Berkeley, CA? For Freelance Machine Learning Compiler Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Compiler Engineer jobs in Berkeley, CA look for? The top searched job categories for Freelance Machine Learning Compiler Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Freelance Machine Learning Compiler Engineer jobs? Cities near Berkeley, CA with the most Freelance Machine Learning Compiler Engineer job openings:

Senior Compiler Engineer

Luminal

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Luminal is focused on optimizing AI models to accelerate and simplify model deployment. They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure, develop backend code generation, and improve model performance across various hardware platforms.
Responsibilities:
• Design and build core compiler infrastructure in Rust
• Build search-based optimization systems for discovering faster kernels
• Develop backend code generation for multiple targets (NVIDIA, Trainium, AMD, TPU, etc.)
• Implement compiler passes for fusion, scheduling, memory planning, and kernel selection
• Profile real models, identify bottlenecks, and improve latency and throughput
• Help shape Luminal’s engineering culture from the ground up
Qualifications:
Required:
• Experience with compiler frameworks: LLVM, MLIR, or other custom compilers
• Hands-on experience with at least one of: PTX/SASS, GCN/RDNA assembly, or other GPU ISAs
• Familiar with ML compilers: torch.compile (or custom PyTorch backend), XLA, TVM, etc.
Preferred:
• Background in distributed systems or multi-device compilation
• Experience with Egg/Egglog is a STRONG plus
• Experience with Rust
• Experience in developing and deploying AI models in production environments
Company:
Luminal provides a machine learning compiler and serverless cloud platform that automates PyTorch model optimization and deployment. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.