LinkedIn, the world's largest professional network, is seeking a Senior Software Engineer to join their AI Platform team. This role offers an exciting opportunity to work on cutting-edge AI technologies and large-scale distributed systems.
The position focuses on three main areas: AI Model Training Infrastructure, Feature Engineering, and Model Serving Infrastructure. You'll be working with state-of-the-art technologies including TensorFlow, PyTorch, and various open-source AI frameworks. The role involves scaling LinkedIn's AI model training and serving capabilities, handling models with hundreds of billions of parameters.
As a Senior Engineer, you'll be responsible for designing and implementing high-performance data I/O systems, enabling distributed training for large-scale models, and optimizing model serving infrastructure. You'll work closely with the open-source community, contributing to projects like Horovod, Ray, vLLM, and DeepSpeed.
The position offers a competitive salary range of $128,000 - $210,000, along with comprehensive benefits including health coverage, equity, and flexible work arrangements. The role is hybrid, allowing you to work both from home and from LinkedIn's office.
Key challenges include handling scale (processing billions of queries, managing terabytes of data), ensuring high performance, and optimizing GPU-based infrastructure. You'll be part of a team that pushes the boundaries of AI technology, working with the latest GPU cards and contributing to cutting-edge AI development.
LinkedIn offers a collaborative environment where you can grow your career while making a significant impact. The company's commitment to creating economic opportunity for every member of the global workforce means your work will directly contribute to helping millions of professionals achieve their career goals.
This is an excellent opportunity for someone passionate about AI, distributed systems, and large-scale infrastructure who wants to work at the forefront of AI technology while enjoying the benefits and stability of a well-established tech company.