2

Remote Deep Learning Research Jobs in El Segundo, CA

Be Seen First

AI Compiler Engineer

Los Angeles, CA · Remote

$190K - $255K/yr

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 ...

Posted today

Be Seen First

AI Compiler Engineer

Los Angeles, CA · Remote

$190K - $255K/yr

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 ...

Posted today

Perform remote and on-site monitoring/co-monitoring visits (Site Qualification Visits, Site ... Learning and development opportunities through structured training and career pathways Benefits may ...

Senior Software Engineer - Remote

Los Angeles, CA · Remote

$132K - $174K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

... learning to help predict and improve audience response to creative work across TV and film ... Founded by a small, fast-moving, highly capable team with deep entertainment and media expertise ...

Showing results 21-40

Remote Deep Learning Research information

Infographic showing various Remote Deep Learning Research job openings in El Segundo, CA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Compiler Engineer

BEARCloud, Inc.

Los Angeles, CA • Remote

$190K - $255K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago

Posted today

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


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.

Our core strengths in Infrastructure, Licensing, and Support enable clients to operate with greater efficiency, scalability, and security. At BEARCloud, we’re more than a systems integrator— we’re your strategic partner for IT infrastructure, workforce solutions, and long-term operational success. BEARCloud helps organizations build, scale, and sustain high-performing technology ecosystems.