ML / AI Jobs in China
There are 107 open ML / AI jobs in China on freehire right now. 13 of them were posted recently. The skills employers ask for most often are ai, machine-learning and python.
Most requested skills
- ai 82%
- machine-learning 79%
- python 71%
- pytorch 50%
- deep-learning 50%
- llm 36%
- cpp 28%
- tensorflow 28%
How the work is done
- Onsite 22 · 21%
- Remote 9 · 8%
- Hybrid 4 · 4%
Visa sponsorship offered in 90% of the 20 postings that state a position on it.
Seniority
- Senior 25
- Intern 12
- Staff 9
- Lead 3
- C-level 2
- Junior 1
Who is hiring
- 1000+ employees 24
- 501-1000 employees 8
- 11-50 employees 1
Deep Learning Solution Architect - RL and Post-training
The Deep Learning Solution Architect will drive the development and optimization of reinforcement learning and post-training frameworks for LLMs and multimodal models, providing technical guidance to customers on NVIDIA's AI platforms.
Campus AI/ML Researcher (Intern)
Campus AI/ML Researcher applying machine learning to quantitative trading research and predictive model development at a proprietary trading firm, using Python/C++ and frameworks like PyTorch, TensorFlow, or JAX.
Quantitative Researcher - AI/ML
Develops AI-driven quantitative investment strategies by generating alpha signals, refining data pipelines, and implementing deep learning/reinforcement learning models for financial markets. Focuses on NLP, LLMs, and ML-based trading/portfolio optimization.
NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China
NVIDIA is hiring 2027 New College Graduates for Deep Learning and High-Performance Computing Engineering roles in Shanghai, focusing on areas like LLM inference optimization, AI compilers, parallel computing, and GPU architecture.
Deep Learning Software Engineering Intern, Test Development - 2027
Intern on NVIDIA's Deep Learning Software QA team building and maintaining test automation infrastructure for the AI software stack across GPU computing platforms, using Python, C++, and Linux.
Senior Machine Learning Engineer, MLE
The Senior Machine Learning Engineer will develop and optimize real-time navigation, routing, and ETA algorithms for Grab's logistics and mobility platform. The role involves building scalable data pipelines, creating perception models for traffic events, and utilizing large-scale user trajectory data.
Senior Deep Learning Engineer, 4D Foundation Model
Build and train 4D world models that reconstruct dynamic scenes from multi-camera video and sensor data, turning real-world captures into high-fidelity simulation environments for autonomous vehicles and Physical AI.
Machine Learning Engineer, ML Infrastructure
Designs and maintains Unity’s offline ML platform for analytics, experimentation, and AI-driven decision-making, focusing on scalable data pipelines, distributed model training, and infrastructure reliability.
Deep Learning Performance Architect
The Deep Learning Performance Architect will analyze and optimize performance for LLM workloads on NVIDIA's hardware architectures. This role involves developing analytical models and collaborating with software and hardware teams to influence the design of next-generation inference products.
Machine Learning Engineer - Recommendations & Personalization
Develops recommendation and personalization systems for an ecommerce platform, focusing on ranking, user modeling, and A/B testing to enhance user engagement and drive conversions.
Machine Learning Engineer - Recommendations & Personalization
Builds and iterates end-to-end ML systems for ShopBack’s personalized shopping recommendations, ranking, and user modeling, blending classic ML with LLM techniques while driving business metrics through A/B testing and experimentation.
Technical Lead, Machine Learning
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who…
Staff Machine Learning Engineer
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who…
2027 Shanghai Machine Learning Engineer Summer Internship
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Machine Learning Technical Lead
Lead the ML execution layer for an AI-native assistant, building scalable training/inference systems in Python/PyTorch/JAX to reliably complete real-world tasks with low latency and high uptime.