Designing and architecting recommendation algorithms across various product surfaces
Leverage all of SpaceXAI'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

🎯 Requirements

Knowledge of data infrastructure like Kafka, Clickhouse, and Spark
Experienced in implementing recommender systems and/or deep learning applications at industrial
Skilled in one or more DL software frameworks such as JAX or PyTorch
Exceptional candidates may be experienced in writing CUDA kernels

🎁 Benefits

Equity
Comprehensive medical, vision, and dental coverage
Access to a 401(k) retirement plan
Short and long-term disability insurance
Life insurance and various other discounts and perks

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