About the job
We’re seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.
Responsibilities
Designing and architecting recommendation algorithms across various product surfaces
Leverage all of xAI’s infra and AI stacks to dramatically enhance the user experience
Write data pipelines and training jobs that continuously learn from product data.
Iterate and improve the algorithm by gathering user feedback in real time through experimentation
Ensuring scalability and efficiency of machine learning systems
Qualifications
Minimum
Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
Experienced in implementing recommender systems and/or deep learning applications at industrial scale
Skilled in one or more DL software frameworks such as JAX or PyTorch
Preferred
Exceptional candidates may be experienced in writing CUDA kernels