Member of Technical Staff - Recommendation Systems
Core
Designing and architecting recommendation algorithms, ranking systems, and search technologies to connect users with relevant content and experiences for a platform with 600 million monthly users.
Role type
Applied ML engineer (recommendation systems)
Builds
Recommendation algorithms, ranking systems, search technologies, data pipelines, and training jobs
Domain
AI/ML, Recommendation Systems, Search Technologies
Deliverable
production ML models
Required skills
Data infrastructure (Kafka, Clickhouse, Spark), Industrial-scale recommender systems, Deep learning frameworks (JAX, PyTorch), CUDA kernel development
Preferred skills
None stated
Technologies
Kafka, Clickhouse, Spark, JAX, PyTorch, CUDA
Responsibilities
Designing and architecting recommendation algorithms across product surfaces, Leveraging xAI's infra and AI stacks to enhance user experience, Writing data pipelines and training jobs that continuously learn from product data, Iterating and improving algorithms via real-time user feedback experimentation, Ensuring scalability and efficiency of machine learning systems
Seniority
Mid-to-Senior, hands-on IC
