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Junior Machine Learning Compiler Engineer Jobs in El Segundo, CA

BEARCloud, Inc.

Be Seen First

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 ...

BEARCloud, Inc.

Be Seen First

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 ...

BEARCloud, Inc.

Be Seen First

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 ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA · On-site

$135K - $210K/yr

Our team excels in areas across back-end, front-end, machine learning, and platform engineering. We ... Design, implement and optimise compiler infrastructure, intermediate representations, optimisation ...

Q-CTRL

Senior Compiler Engineer

Los Angeles, CA

$135K - $210K/yr

Our team excels in areas across back-end, front-end, machine learning, and platform engineering. We ... Design, implement and optimise compiler infrastructure, intermediate representations, optimisation ...

Targeted Talent

Compiler Tech Lead

Los Angeles, CA · On-site

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... Mentor and guide junior engineers * Evaluate current and proposed hardware architecture for future ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

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All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in El Segundo, CA

Junior Machine Learning Compiler Engineer information

See El Segundo, CA salary details

$35.7K

$76.5K

$116.6K

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

As of Aug 24, 2026, the average yearly pay for junior machine learning compiler engineer in El Segundo, CA is $76,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $85,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in El Segundo, CA?

For Junior Machine Learning Compiler Engineer jobs in El Segundo, CA, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Compiler Engineer jobs in El Segundo, CA look for?

The top searched job categories for Junior Machine Learning Compiler Engineer jobs in El Segundo, CA are:

What cities near El Segundo, CA are hiring for Junior Machine Learning Compiler Engineer jobs?

Cities near El Segundo, CA with the most Junior Machine Learning Compiler Engineer job openings:

Junior Machine Learning Compiler Engineer jobs near you
Infographic showing various Junior Machine Learning Compiler Engineer job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $76,477 per year, or $36.8 per hour.

AI Compiler Engineer

BEARCloud, Inc.

Los Angeles, CA • Remote

$190K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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 Talent Solutions in industries like Healthcare, Manufacturing and Aviation.