Perplexity

Engineering Manager for AI Inference team focused on building and scaling the infrastructure for Perplexity's AI capabilities, including deploying and optimizing large sparse/MoE models, developing inference APIs, and improving system reliability and observability.

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.

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.

AI Research Lead at Perplexity to drive research strategy and lead development of in-house Online LLMs (Sonar models). Role involves setting macro research direction across modalities, mentoring researchers, and scaling model performance using query/answer datasets.

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.

Perplexity is looking for an AI Software Engineer to join their Agents team, focusing on building agentic experiences within their AI products. The role involves designing AI agents, training action/decision models, ensuring excellent user experiences across platforms, developing secure agentic capabilities, and optimizing data representations for agent-environment interaction. The engineer will drive AI capabilities, leverage AI models and infrastructure, and ensure high quality in AI agent performance and user experience.

Seeking an ML Research Engineer to advance search technologies, focusing on retrieval and ranking. Responsibilities include architecting and building core search platform components, designing/training/optimizing large-scale deep learning models (PyTorch, distributed training), conducting research in representation learning (contrastive, multilingual, multimodal), deploying models, and building RAG pipelines. Requires deep understanding of search/retrieval, large-scale search/recommender systems experience, PyTorch proficiency, expertise in representation learning, and a strong publication record.

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.

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.

Internship role focused on advancing search quality through research and engineering of large-scale deep learning models, representation learning, and RAG pipelines. Involves distributed training, optimization, and evaluation of retrieval and ranking models.

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.

Machine Learning Engineer focused on building and deploying search technologies, including retrieval, ranking, and RAG pipelines, with a focus on LLMs.

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.

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.

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.

Software Engineer to build AI Foundation & Platform, focusing on end-to-end AI data, evaluation, and personalization infrastructure for agent products. Responsibilities include designing scalable data pipelines, high-performance infrastructure for personalization features, and a multi-modal evaluation platform. Requires strong programming, data engineering, and distributed systems experience, with familiarity in cloud services and ML/AI engineering support.

AI Security Engineer responsible for designing and implementing mechanisms to secure AI systems, including LLM APIs, agents, and self-hosted models, against adversarial threats. This involves hands-on remediation, threat modeling, and security assessments.

Internship role focused on improving search quality through retrieval, ranking, and RAG pipelines, involving model experimentation, implementation, training, and deployment support.

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.

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.

This role focuses on building and maintaining automated evaluation pipelines to assess the quality of answers generated by LLMs in Perplexity's search engine and other products. It involves designing evaluation sets, developing VLM-based solutions for visual rendering assessment, and adapting public benchmarks. The goal is to directly shape product changes by providing key evaluation metrics.

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.

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.

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.

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.

This role focuses on leveraging AI tools and agents to improve the efficiency and delivery cadence of various teams within Perplexity, including engineering, research, and operations. The candidate will be responsible for identifying opportunities to use AI, making internal systems AI-legible, and building both prototypes and production systems to accelerate development and operations. It's a hybrid role blending AI product development, infrastructure/platform engineering, and developer experience.

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.

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.

This role focuses on Developer Relations for Perplexity's API platform, aiming to make it the default choice for developers building AI-native products. Responsibilities include representing the APIs at events, building and operating the developer community, shipping educational content and examples, and translating developer feedback into product improvements. The ideal candidate has experience in DevRel, shipping code, strong communication, and operational skills.

Software Engineer focused on building and owning the billing platform and monetization systems for Perplexity's AI products, including usage-based billing for agent actions, subscriptions, and enterprise contracts. The role requires strong backend engineering skills, experience with payment processors, and cross-functional collaboration to ensure reliable and observable revenue paths.

Product Manager role focused on building new AI-powered products to enhance human productivity, working closely with engineering and design to define and deliver innovative experiences. The role involves understanding product-led growth, evaluating models, and utilizing data for decision-making.

Product Marketing Manager for enterprise AI solutions, focusing on Go-To-Market (GTM) strategy for specific verticals (Finance, Healthcare, Legal, Consulting). Responsibilities include understanding buyer behavior, building awareness campaigns, enabling sales teams, developing thought leadership, and measuring performance. Requires strong B2B product marketing experience, understanding of enterprise buying motions, and proficiency with AI tools for marketing.

The role focuses on offensive security for AI systems, including assessing AI/ML pipelines, prompt injection, model exfiltration, agent abuse, and tool-use exploitation. The engineer will plan and execute red team operations, penetration tests, and attack simulations across various systems, including AI/ML components, and develop custom offensive tooling. Experience with AI/ML systems and agentic workflows is required.

This role is for a Member of Technical Staff focused on AI policy and strategic initiatives, working with senior leadership on a broad portfolio of technology initiatives across AI policy, law, operations, and corporate affairs. The role involves harnessing AI agents for research, building automated platforms for invention patenting, supporting high-tech litigation, engineering privacy and compliance systems for AI products, contributing to regulatory filings, implementing software solutions for HR, and acting as a subject-matter expert in meetings with various stakeholders. It requires strong technical skills, fluency with AI tools, and an interdisciplinary approach combining engineering rigor with interests in law, policy, and corporate affairs.

Perplexity AI is seeking an iOS Engineer to build and improve their iOS app, focusing on user experience and performance. The role involves developing the native iOS app, defining mobile development processes, and collaborating with the core team on new experiences. While AI is central to the company's mission, this specific role is for an iOS engineer, not an AI/ML builder.

Legal counsel for an AI company, focusing on commercial agreements for enterprise and API customers. Responsibilities include negotiating contracts, advising on AI-specific legal issues, and building legal infrastructure. Requires strong experience in SaaS/API agreements, data privacy, and risk management.

This role is for a User Operations Generalist at Perplexity AI, focusing on customer support and technical operations for their AI-powered search and answer engine. The role involves handling user inquiries across multiple channels, investigating product issues, using customer feedback to drive product improvements, and building automations to streamline operations. It requires strong technical aptitude, customer support experience, and the ability to operate independently in a fast-paced startup environment.

Demand Generation Lead for an AI company, focusing on building and scaling AI-native demand generation engines for enterprise products. The role involves owning the end-to-end strategy, architecting AI-powered tooling, designing multi-channel campaigns, and developing targeting strategies for buyer personas. Requires significant experience in building growth channels, a deep interest in AI-driven outbound engines and personalization, strong analytical skills, and the ability to thrive in ambiguous, fast-paced environments.

This role supports enterprise customers of an AI-powered answer engine, focusing on maximizing value, troubleshooting complex issues, and leveraging AI tooling for support automation. The goal is to scale world-class support through automation and agentic solutions, feeding customer insights into product development.

Commercial Counsel at an AI company, responsible for the full commercial legal lifecycle including drafting, negotiating, and closing agreements, building legal infrastructure, and advising on AI-specific legal questions and regulatory requirements. Requires experience with commercial technology agreements, data privacy, and security frameworks.

Backend Engineer responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products. This role involves working with data ingestion, databases, caching, and collaborating with AI/Search/Data Science teams on non-deterministic systems like LLMs. The role also manages orchestration systems and scales services.

Experienced iOS Engineer to build and expand Perplexity's new browser app (Comet). Responsibilities include developing a performant native iOS app, ensuring high craft and quality in UX/UI, collaborating with design, and working with data science/ML teams to improve the end-to-end experience. Requires 5+ years of industry experience with Swift, SwiftUI, and UIKit, strong understanding of app performance, and comfort in a fast-moving team environment. Bonus for browser development experience.

Data Scientist/Engineer on the Answer Quality team at Perplexity, focusing on deriving online signals from user interactions to measure and improve answer quality in an LLM-first search engine. Responsibilities include discovering and validating online signals, designing and implementing novel online metrics, analyzing experimental results, and building data pipelines.

Infrastructure Engineer role focused on building and scaling the systems that support AI product development and deployment. The role involves designing, implementing, and maintaining tools, systems, and platforms for web, mobile, and browser engineers, ensuring reliability, security, and performance. Specific teams include Platform, DevX, and Cloud Infra, all contributing to the backbone of Perplexity's product and AI capabilities.

Product Marketing Manager at Perplexity, responsible for bridging product strategy and market impact, architecting external narratives, and driving product adoption and growth. This role requires turning complex product capabilities into clear market points of view, orchestrating product launches, equipping customer-facing teams, understanding customer needs, measuring outcomes, and influencing without authority. Requires 5+ years of product marketing experience in high-growth tech, with a proven ability to translate technical concepts into compelling narratives and drive launches in ambiguous environments.

This role drives new business growth for Perplexity Enterprise Pro solutions by prospecting, pitching, closing deals, and building senior-level relationships with enterprise clients. It involves managing the full sales cycle, collaborating with internal teams, and meeting revenue targets.

Software Engineer focused on building and evolving security operations, including AI-driven agents for detection, response, and vulnerability management, and contributing to secure-by-default practices.

Customer Success Engineer for Perplexity AI's enterprise accounts, focusing on technical troubleshooting, API expertise, and driving product improvements through customer feedback. Requires strong software engineering background, Python/NodeJS proficiency, and experience with agentic coding tools.