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AI Algorithm Engineer (Bilingual Chinese)

Omni Solutions Services
Arcadia, CA

Quick Apply

Job Details

Full-time
$100,000 - $200,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Flexible schedule
Retirement plan

Qualifications

AI models
GPU programming
Performance tuning
Data preprocessing
Image processing
PyTorch
Computer vision
Software coding
High-performance computing clusters
System performance optimization
Generative models
AI platforms (beyond public GPTs)
Master's degree
Photo editing
Bachelor's degree
Distributed systems
Computer vision research
Developing large-scale AI models
Engineering research
Model training
Chinese
Distributed computing
Machine learning libraries
AI
Machine learning frameworks
Generative AI

Full Job Description

Job Overview
The company is seeking a highly skilled and passionate AI Algorithm Engineer to join the cutting-edge research and development team. Unlike standard applied AI roles, this position is deeply focused on the foundational layer of vision models. You will be instrumental in designing, pre-training, scaling, and fine-tuning our next-generation image foundation models from the ground up. You will not just be utilizing existing open-source models; you will be diving into the underlying architectures to create proprietary, state-of-the-art visual generation capabilities. If you are passionate about the complex mathematics of Diffusion models, the underlying architecture of Vision Transformers, and building robust, multi-modal systems that will directly power the core products, you are wanted to the team.

Duties:

Vision Foundation Model R&D & Iteration: Lead the underlying algorithm research, pre-training, and continuous optimization of cutting-edge image foundation models (e.g., Stable Diffusion, DiT, ViT, SAM, CLIP).
Business Scenario Customization & Fine-Tuning: Tailor vision models to core business needs (such as AIGC image generation, image editing, and multi-modal understanding). Lead deep supervised fine-tuning (SFT) and parameter-efficient fine-tuning (e.g., LoRA, ControlNet, Adapters).
Model Architecture Innovation: Explore and improve existing generative models and visual feature extraction network architectures to enhance image generation quality, stability, resolution, and cross-modal alignment.
Engineering Deployment & Performance Tuning: Collaborate with the engineering team to implement end-to-end deployment of large models. Optimize inference performance and resolve engineering bottlenecks such as high VRAM usage and slow generation speeds (via inference acceleration, quantization, pruning, etc.).
Cutting-Edge Technology Tracking: Continuously monitor the latest papers and open-source developments in Computer Vision (CV) and multi-modal large models, rapidly reproducing and translating state-of-the-art algorithms into business value.

Job Requirements

Educational Background: Bachelor's degree or higher in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field.
[Core Requirement] Deep Expertise in Vision/Image Foundation Models:
Extensive R&D experience with large vision models, possessing a deep understanding of the underlying architectures and mathematical principles of Diffusion Models, Vision Transformers (ViT), MAE, etc.
Led or participated as a core member in the full pre-training lifecycle of vision or multi-modal models with hundreds of millions of parameters or more. Highly familiar with data cleaning strategies and ensuring training stability.
Rich practical experience in Generative AI (AIGC), proficient in the underlying control and optimization technologies for Text-to-Image and Image-to-Image generation.
Coding & Framework Proficiency: Solid programming foundations, proficient in Python and C++. Highly skilled in the PyTorch deep learning framework with excellent abilities in source code reading and secondary development.
Distributed Training Experience: Familiar with large-scale cluster parallel training technologies (e.g., DeepSpeed, Megatron, FSDP), with hands-on experience in multi-node/multi-GPU distributed training tuning and compute resource management.

Bonus Points:

High-quality publications related to large vision models or generative models in top-tier academic conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR).
Active contributions to open-source communities (GitHub/Hugging Face) or top-ranking achievements in premier AI algorithms competitions (e.g., Kaggle).
Experience with low-level operator optimization and High-Performance Computing (HPC) deployment, such as TensorRT and CUDA programming.

Pay: $100,000.00 - $200,000.00 per year

Benefits:

401(k)
Dental insurance
Flexible schedule
Health insurance
Paid time off
Retirement plan
Vision insurance

Work Location: Hybrid remote in Arcadia, CA 91007

Quick Apply

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data services operators jobs

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