Software Engineer - AI Platform

LinkedIn is seeking a Software Engineer to join their AI Platform team, focusing on pushing the boundaries of scaling large models. This role presents an exciting opportunity to work at the intersection of AI infrastructure and distributed systems at one of the world's largest professional networks.

The position involves working with cutting-edge AI technologies, including large language models, computer vision models, and recommendation systems. You'll be responsible for scaling LinkedIn's AI model training and feature engineering infrastructure, handling models with hundreds of billions of parameters. The role requires expertise in optimizing performance across algorithms, AI frameworks, data infrastructure, and hardware.

As a member of the team, you'll collaborate with open source communities and work with various modern technologies including TensorFlow, PyTorch, Horovod, Ray, vLLM, and DeepSpeed. The team is deeply involved in advancing technologies like LLMs, GNNs, Incremental Learning, and Online Learning.

Key responsibilities include building high-performance data I/O systems, enabling distributed training for massive models, developing containerized pipeline orchestration infrastructure, and implementing CUDA-level optimizations. You'll work on both training and serving infrastructure, ensuring low latency and high performance for AI applications at scale.

The role offers competitive compensation, comprehensive benefits, and the opportunity to work in a hybrid environment. You'll be part of a team that values innovation, collaboration, and technical excellence, while contributing to LinkedIn's mission of creating economic opportunity for every member of the global workforce.

This position is ideal for someone with experience in deep learning systems and distributed computing, who is passionate about solving complex technical challenges in AI infrastructure. You'll have the chance to work with state-of-the-art technology while making a significant impact on LinkedIn's AI capabilities.

The role provides excellent growth opportunities, working alongside talented engineers and researchers, and the chance to contribute to open-source projects. If you're excited about scaling AI systems and want to be part of shaping the future of professional networking, this role offers the perfect blend of challenge and opportunity.