xAI is a small, highly motivated engineering team focused on building AI systems that understand the universe and aid humanity. The role seeks Applied engineers to work on a high-priority recommendation systems project serving approximately 600 million monthly users, applying skills in recommendation systems, ranking algorithms, search technologies, and other advanced AI development to real-world impact.
Salary
USD 180,000 - 440,000
Requirements
Skills
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
Exceptional candidates may be experienced in writing CUDA kernels
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
Technologies
KafkaClickhouseSparkJAXPyTorchCUDA
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