Machine Learning Engineer - Recommendation Systems

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 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 scale; Skilled in one or more DL software frameworks such as JAX or PyTorch

Nice to have

Experienced in writing CUDA kernels

Benefits

equity; comprehensive medical, vision, and dental coverage; access to a 401(k) retirement plan; short & long-term disability insurance; life insurance; various other discounts and perks