AlgorithmFull-time
LLM Algorithm Engineer
Research deep learning algorithms for the sports & health foundation model — fine-tune, optimize, and ship AI capabilities into real business scenarios.
Location：Shenzhen
Team：Algorithm
Careers
Join SIL
Build practical next-generation AI systems with us, from frontier models to real-world deployment.
Open Roles
4
ApplicationFull-time
LLM Application Engineer
Build Agent applications for the company's smart fitness devices, land foundation-model capabilities in real business scenarios, and handle performance optimization and troubleshooting.
Location：Shenzhen
Team：Application
DataFull-time
LLM Data Engineer
Own the collection, cleaning, labeling, and versioning of multimodal data for the sports & health domain; build evaluation datasets and knowledge bases; develop automated data pipelines.
Location：Shenzhen
Team：Data
InfrastructureFull-time
LLM Infra Engineer
Design and build an efficient AI infrastructure platform supporting foundation-model training/inference/deployment and MLOps; optimize hardware utilization and edge deployment.
Location：Shenzhen
Team：Infrastructure
Life at SIL
01
Research near product
Research questions come from real usage, and results quickly enter experiments and product loops.
02
Dense collaboration
Models, applications, systems, and product advance together—less handoff cost, more exploration speed.
03
Long-term infrastructure
Evaluation, observability, data governance, and engineering quality keep innovation durable.