Perplexity
AI Frontier · AI search
- HQ
- San Francisco, US
- Founded
- 2022
- Size
- 200+
- Website
- perplexity.ai
Products
Perplexity currently has 30 active AI-related job listings. The company's hiring is heavily focused on the agents stage, which accounts for 47% of its open AI roles. Engineering is the top function for these positions. The majority of these roles are located in the United States and the United Kingdom. Perplexity is frequently seeking candidates with experience in model serving, agent orchestration, and RAG. Over the last 30 days, there has been a 100% decrease in new AI roles, with 0 new positions posted compared to 19 in the previous 30-day period.
Perplexity currently has 33 active AI-related roles in our index. The most common open titles are: Internship - Search Machine Learning Engineer (2), Member of Technical Staff (AI Inference Engineer) (2), Member of Technical Staff (AI Infrastructure Engineer) (2), Engineering Manager (API Platform), Engineering Manager (TLM, Agents). Most positions are in Engineering and Research.
Perplexity's active AI hiring is concentrated in: agents (55%), serving infrastructure (18%), application (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Perplexity is hiring AI talent in: United States (24 roles), United Kingdom (6 roles), Serbia (3 roles).
Job postings at Perplexity most frequently reference: model serving, agent orchestration, llm observability, evals, inference infra.
In the past 30 days, Perplexity has posted 12 new AI-related roles.
Currently tracking 26 active AI roles, up 371% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $175k–$485k (avg $328k).
AI Frontier · AI search
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff (Software Engineer, Agent Capabilities) Software Engineer role focused on building and evolving agentic AI capabilities, including Skills, Workflows, and Artifacts. The role involves investigating frontier AI model behaviors, translating them into product capabilities, and owning end-to-end development from user interfaces to backend systems and evaluation. It requires strong full-stack engineering fundamentals, product judgment, and experience with scalable distributed systems and platform design. | AgentEval Gate | 9 |
| Member of Technical Staff (AI Software Engineer, Agents) Seeking AI Software Engineers to join the Agents team, focusing on building agentic experiences within Perplexity's ecosystem. The role involves designing AI agents, training decision models, ensuring excellent cross-environment experiences, developing secure agentic capabilities, and optimizing data representations. Responsibilities include driving AI capabilities, developing models and infrastructure, ensuring quality, and collaborating across teams. Requires foundational AI product stack familiarity, Python proficiency, and experience in context engineering, tool interfaces, post-training/RL for multimodal models, or browser technologies. | Agent | 9 |
| Engineering Manager (TLM, Agents) Engineering Manager for the Agents team, focusing on building and scaling AI agents that actualize user intent through open-ended interactions. The role involves technical leadership, product strategy, and team management in the AI agents space. | AgentPost-train | 9 |
| Member of Technical Staff (AI Infrastructure Engineer) AI Infrastructure Engineer responsible for building, deploying, and optimizing large-scale AI training and inference clusters using Kubernetes and Slurm on AWS. The role involves managing HPC environments, developing orchestration systems, implementing resource scheduling, and building monitoring solutions for ML workloads. | ServeData | 9 |
| Member of Technical Staff (AI Inference Engineer) AI Inference Engineer responsible for building and running the inference engine for Perplexity's models, focusing on performance, reliability, and cost-efficiency across various model architectures and GPU hardware. The role involves migrating CUDA kernels to CuTe DSL, developing a Rust-based serving runtime, and optimizing performance from network ingress to GPU kernels. | Serve | 9 |
| Member of Technical Staff (AI Researcher) AI Research Scientist/Engineer at Perplexity focused on advancing AI-powered search and agent experiences. The role involves post-training SOTA LLMs using SFT/DPO/GRPO, leveraging query/answer datasets, and developing in-house improvements. Responsibilities include owning full-stack data, training, and evaluation pipelines, building robust training frameworks, and integrating models into the product suite. Experience with large-scale LLMs, Deep Learning, Python/PyTorch, and post-training techniques is required. Nice-to-haves include PhD, experience with agent systems, and personalization. | Post-trainAgent | 9 |
| Member of Technical Staff (Secure Intelligence Institute) Research role focused on advancing security, privacy, and trust in frontier AI systems, developing novel defenses, and building evaluation frameworks, with a strong emphasis on translating research into practical product improvements and publishing findings. | AgentEval Gate | 9 |
| Member of Technical Staff (Model Behavior Architect) The Model Behavior Architect will design and optimize context engineering strategies and evaluation systems for Perplexity's AI products. This role involves pressure-testing model capabilities, ensuring behavioral consistency, and supporting model launches by identifying and fixing failure modes. The goal is to deliver high-quality user experiences by improving model behavior and quality through systematic evaluation and iteration. | Eval GatePost-train | 9 |
| Member of Technical Staff (Software Engineer, Applied AI) Applied AI Engineer to design, build, and iterate on cutting-edge agents powering the core experience in Perplexity Computer. This role involves developing frontier context layer applications, personalization, recommendations, and monetization applications, as well as building agent capabilities. The engineer will own the full model lifecycle from research to production, including data analysis, modeling, evaluation, A/B testing, and iterative improvement, and will also build an auto research harness for agent exploration. Collaboration with cross-functional teams and staying updated on AI innovation are key. | AgentData | 9 |
| Member of Technical Staff (Machine Learning Engineer, Search) Machine Learning Engineer focused on building and deploying search technologies, including retrieval, ranking, and RAG pipelines, with a focus on LLMs. | AgentServe | 9 |
| Engineering Manager (API Platform) Engineering Manager for Perplexity's API Platform, responsible for leading a team that designs, builds, and scales mission-critical APIs providing access to frontier AI capabilities, including agent orchestration and distributed systems. The role involves technical leadership, team management, hiring, and ensuring reliability and performance for thousands of customers, from startups to governments. | AgentServe | 8 |
| Member of Technical Staff (Software Engineer, Acceleration) This role focuses on accelerating Perplexity's delivery cadence by integrating frontier AI capabilities into company operations, product development, and infrastructure. The engineer will identify opportunities, make systems legible to AI, and build prototypes and production systems to enhance velocity and leverage AI tools and agents. | Agent | 8 |
| Member of Technical Staff (AI Software Engineer, Multimodal) This role is for an AI Software Engineer focused on Multimodal AI, building product experiences and platform systems that enable human-AI interaction through various modalities like voice, images, and video. The role involves working across the stack, from UI to backend infrastructure, and includes designing, building, and owning systems, leading features end-to-end, and iterating on hard problems. Experience with production systems, product judgment, and interest in multimodal AI are required. | AgentServe | 8 |
| Member of Technical Staff (Software Engineer, Computer) This role is for a software engineer on the 'Computer' team at Perplexity, focusing on building and owning product and platform systems for agentic AI. The engineer will lead features end-to-end, iterate on hard problems, and build systems that handle AI nuances like agents, context, evaluation, and personalization. The role requires strong software engineering experience, production system building, and product judgment, with a preference for experience in LLMs, agents, retrieval systems, personalization, or evaluation frameworks. | Agent | 8 |
| Member of Technical Staff (AI Infrastructure Engineer) AI Infrastructure Engineer responsible for building, deploying, and optimizing large-scale AI training and inference clusters using Kubernetes and Slurm on AWS. The role involves managing HPC environments, developing orchestration systems, implementing resource scheduling, and building monitoring solutions for ML workloads. | ServeData | 8 |
| Member of Technical Staff (AI Inference Engineer) AI Inference Engineer responsible for building and running the inference engine for Perplexity's models, focusing on performance, latency, and cost optimization across various model architectures. The role involves supporting transformer-based models, migrating GPU kernels, developing a Rust-native serving runtime, and ensuring reliability and observability of the inference infrastructure. | Serve | 8 |
| Internship - Search Machine Learning Engineer Internship role focused on improving search quality through retrieval, ranking, and RAG pipelines, involving model experimentation, implementation, training, and deployment support. | AgentServe | 8 |
| Member of Technical Staff (Data Scientist) This role focuses on building AI systems to revolutionize data science workflows. The core responsibilities include developing AI agents for autonomous data analysis, making data warehouses AI-readable, automating data lifecycle management with self-healing pipelines, and creating AI-powered experiment analysis tools. The goal is to transform the data team into an AI-native product team, enabling significant leverage and industry-leading practices. | Agent | 8 |
| Member of Technical Staff (Analytics Engineer) This role focuses on building AI systems to revolutionize how data science is performed. The core responsibilities include developing AI agents for autonomous data analysis (hypothesis generation, query execution, interpretation, recommendations), making the data warehouse AI-readable, automating data lifecycle management with self-healing pipelines, and creating AI-powered experiment analysis tools. The goal is to transform the data team into a product team by building internal data products that leverage AI, enabling 10x operational efficiency. | AgentData | 8 |
| Engineering Site Lead Engineering Site Lead for Perplexity in London, responsible for establishing and scaling the office, building and managing infrastructure and AI infrastructure teams, and driving technical excellence in AI systems. The role involves direct people management, setting technical direction, and ensuring robust systems for AI/ML workloads. | ServeAgent | 8 |
| Member of Technical Staff (Forward Deployed Engineer, Applied AI) Forward Deployed Engineer role focused on integrating Perplexity's AI API Platform and Perplexity Computer (agentic workflows) into enterprise customer systems. The role involves designing, building, and deploying end-to-end AI integrations, automating business workflows, and optimizing performance, security, and customer impact. Requires strong software engineering skills, experience with LLM-powered systems, and customer-facing deployment. | AgentServe | 8 |
| Member of Technical Staff (Software Engineer, API Platform) The Perplexity API Platform is seeking engineers to design, build, and scale mission-critical APIs that provide customers with building blocks for frontier intelligence. The role involves working on distributed systems, performance optimization, agent orchestration, and incorporating novel AI capabilities into the platform, prioritizing developer and agent experience. | AgentServe | 7 |
| Member of Technical Staff (ML Engineer, Recommendations & User Modeling) ML Engineer role focused on designing, building, and optimizing recommendation systems for Perplexity's consumer-facing AI products. The role involves personalization, user modeling, and integrating LLMs into ranking and retrieval pipelines to enhance user experience and drive business metrics. | ShipAgent | 7 |
| Member of Technical Staff (Software Engineer, Data Platform) Perplexity is seeking a Senior/Staff Software Engineer for their Data Platform team. This role will focus on designing, operating, and evolving large-scale batch and streaming data pipelines that support product features, AI training and evaluation, analytics, and experimentation. The engineer will lead architecture for orchestration, observability, and self-serve data platforms, ensuring data correctness, freshness, and recoverability for AI workloads. The role requires strong systems thinking, Python proficiency, and experience supporting ML/AI workflows. | Data | 7 |
| Member of Technical Staff (Product Data Scientist, Search Quality) Product Data Scientist focused on search quality, developing data-driven insights, designing and analyzing A/B tests, and creating pipelines for ranking quality, including data labeling with human and LLM feedback. | ShipData | 7 |
| Member of Technical Staff (Software Engineer, Data Flywheel) Software Engineer, Data Flywheel role focused on building systems and pipelines for accessing and utilizing eval verdicts, turning raw signals into datasets, and creating a simulator pipeline for user interactions. This role emphasizes data trust through monitoring and quality checks, operating within a high-impact team to improve Answer Quality. | Eval GateData | 7 |
| UK Internship Program Internship program focused on improving the AI inference engine and serving stack for Perplexity products, optimizing latency and throughput on large GPU clusters, and supporting new models and inference optimizations. | Serve | 7 |
| Internship - Search Machine Learning Engineer Internship role focused on improving search quality through retrieval and ranking models, including RAG pipelines, and contributing to the deployment and monitoring of these models. The role involves experimentation and collaboration with various teams. | ShipAgent | 7 |