About the job
Join Perplexity as an Applied Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. You will design, develop, and refine advanced AI models that enhance user experiences globally. Your expertise in machine learning will allow you to create scalable solutions for user personalization, query comprehension, and content discovery, catering to the curiosity of millions.
Key Responsibilities
Utilize cutting-edge ML and LLM techniques to address challenges in:
Personalization (LLM memory, context summarization, retrieval, and ranking);
Query Understanding (intent modeling, rewriting, agentic decomposition);
Content Discovery (feed ranking and surfacing).
Conduct thorough evaluations of LLM/ML models through offline and online methods, designing comprehensive experiments and metrics that yield insights into quality and impact.
Manage the full model lifecycle from research to deployment, including data analysis, modeling, evaluation, A/B testing, and iterative enhancements.
Collaborate with cross-functional teams, including engineers, PMs, data scientists, and designers, to ensure AI implementations yield significant product enhancements.
Stay updated on ML/AI advancements by assessing and integrating new research and algorithms into the product lifecycle.
Preferred Qualifications
Over 5 years of experience in developing and deploying robust ML/AI models for large-scale, user-centric or data-driven applications.
Extensive knowledge in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and ranking.
Proficient software engineering skills (Python, production-level codebases, collaborative development).
Comprehensive experience across the entire ML lifecycle: data analysis, feature engineering, model development, evaluation, and ongoing monitoring/improvement.
Effective collaborator and communicator; thrives in fast-paced, cross-functional environments.
Inquisitive, motivated by user/product impact, and passionate about advancing applied ML and AI.
Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field (or equivalent experience).

