Perplexity AI is seeking an experienced Tech Lead to drive user engagement to the next level. This role involves working across personalization, discovery, agents, and evaluations, using AI/ML techniques to enhance user engagement at Perplexity.
Responsibilities
Lead the research, design, and implementation of an E2E engagement platform
Collaborate with product, search, browser, and other AI teams to implement cross-platform solutions to increase user retention
Stay abreast of the latest advancements in AI, applying new research, frameworks, and tools to enhance personalization and discovery systems
Mentor and guide a team of engineers, fostering a culture of technical excellence, innovation, and continuous learning
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field (PhD preferred)
10+ years of experience in AI/ML engineering, with a proven track record of building and deploying large-scale, consumer facing personalization or recommendation systems
Experience developing LLM techniques—including post-training, evaluation, inference, and APIs
Sufficient business and technical acumen in using AI techniques like prompt engineering and RAG to solve challenging problems
Deep expertise in machine learning, deep learning, and data science, including hands-on experience with frameworks such as TensorFlow, PyTorch, and modern LLMs
Proficiency in Python and familiarity with production ML pipelines, cloud services (e.g., AWS, GCP), and data engineering best practices
Strong understanding of user engagement metrics and experience applying AI/ML to optimize user-facing products
Curiosity, adaptability, and a drive for continuous learning and innovation in the rapidly evolving AI landscape