Researcher at Parallel

Parallel is hiring a Researcher to investigate how to train and scale a model that can serve a web index. The role requires deep intuition about modern models and training, an interest in how search, recommendation, and transformer models can converge, and a focus on applying research to products and systems used by millions. The position is fully in-person between Palo Alto and San Francisco, with competitive salary, equity, visa sponsorship, retirement plans, and other benefits.