Build and optimize prompts, tools, skills, and memory systems to shape how Perplexity's AI models respond, use tools, and leverage context across products. Requires strong software engineering skills and experience with LLM behavior design.
Build and advance AI agent systems at Perplexity that connect frontier models to tools and environments to perform valuable work for users. Requires strong AI product stack knowledge, Python proficiency, and deep expertise in at least one area such as context engineering, RL/post-training, or browser technologies.
Build AI agents and systems that automate end-to-end data science workflows including hypothesis formation, querying, analysis, and recommendations at Perplexity. Requires 6+ years in data roles, strong SQL/analytics judgment, production Python, hands-on LLM experience, and product sense to create scalable AI-native data infrastructure.
ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.
Build and own multimodal AI product and platform systems across the stack at Perplexity. Requires production systems experience, full-stack capability, and strong product judgment.
Designs, builds, and iterates on AI/ML models for personalization, query understanding, and content discovery. Requires 5+ years in ML, deep learning expertise (PyTorch/TensorFlow/JAX), Python, and full ML lifecycle ownership.
Forward Deployed Engineer designs and deploys AI integrations and agentic workflows into customer enterprise systems, owning end-to-end production rollout. Requires 5+ years software engineering, Python proficiency, and LLM production experience.
Develops APIs and optimizes large-scale ML model inference using Python, Rust, C++, PyTorch, and CUDA. Benchmarks performance, improves reliability, and implements LLM optimizations on GPU architectures.
Build and optimize prompts, tools, skills, and memory systems to shape how Perplexity's AI models respond, use tools, and leverage context across products. Requires strong software engineering skills and experience with LLM behavior design.
Build and advance AI agent systems at Perplexity that connect frontier models to tools and environments to perform valuable work for users. Requires strong AI product stack knowledge, Python proficiency, and deep expertise in at least one area such as context engineering, RL/post-training, or browser technologies.
Build AI agents and systems that automate end-to-end data science workflows including hypothesis formation, querying, analysis, and recommendations at Perplexity. Requires 6+ years in data roles, strong SQL/analytics judgment, production Python, hands-on LLM experience, and product sense to create scalable AI-native data infrastructure.
ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.
Build and own multimodal AI product and platform systems across the stack at Perplexity. Requires production systems experience, full-stack capability, and strong product judgment.
Designs, builds, and iterates on AI/ML models for personalization, query understanding, and content discovery. Requires 5+ years in ML, deep learning expertise (PyTorch/TensorFlow/JAX), Python, and full ML lifecycle ownership.
Forward Deployed Engineer designs and deploys AI integrations and agentic workflows into customer enterprise systems, owning end-to-end production rollout. Requires 5+ years software engineering, Python proficiency, and LLM production experience.
Develops APIs and optimizes large-scale ML model inference using Python, Rust, C++, PyTorch, and CUDA. Benchmarks performance, improves reliability, and implements LLM optimizations on GPU architectures.