Remote Jobs at Perplexity AI

Candidates should have experience with ML systems and deep learning frameworks such as PyTorch, TensorFlow, or ONNX, familiarity with common LLM architectures and inference optimization techniques, and an understanding of GPU architectures or experience with GPU kernel programming using CUDA.

Candidates should possess 4+ years of experience as a data scientist or related role, with demonstrated experience at a fast-growing consumer or growth-stage company. They must be an SQL expert and have extensive A/B testing experience, along with significant experience building dashboards using BI tools such as Omni, Mode, Hex, or Looker. Furthermore, candidates should be self-starters comfortable with open-ended problems and possess some experience with data modeling.

Candidates should possess 4+ years of professional experience as an analytics engineer, data engineer, or data scientist, demonstrating expertise in SQL and data modeling, including dimensional modeling and analytics engineering best practices. They should have prior experience in fast-paced, rapidly scaling environments and be comfortable working autonomously with minimal oversight.

- 4+ years in Developer Relations, Developer Advocacy, or a similar technical role, with a track record of building and nurturing developer communities - Hands-on experience in software development, comfortable with API integrations and modern web technologies - Ability to simplify complex technical topics and engage diverse audiences, both in-person and online - An innovative mindset with the capacity to design inspiring demos and technical content that spark developer interest - A team player …

- 5+ years of industry experience - Strong understanding of Swift programming language - Proven experience with a modern iOS stack, including Swift, SwiftUI (iOS16+), and UIKit - Enjoys crafting appealing UI, designing excellent UX, and writing reusable, testable code - Understands low-level intricacies and can profile and measure app performance and speed - Comfortable working in a small, fast-moving team and taking ownership of tasks - Genuine interest in iOS development and staying current wi…

Candidates should possess strong experience with cloud infrastructure built on AWS, proficiency in database management and caching strategies, excellent problem-solving and troubleshooting skills, experience working with containers (Docker, Kubernetes) and orchestration tools, and experience with Python and Terraform. A minimum of 4 years of Site Reliability Engineer experience is required.

Candidates should possess strong experience with Python, databases and caching, experience working with high scale data and nondeterministic systems like LLMs, and experience with infrastructure at scale, ideally Kubernetes. A minimum of 4 years of engineering experience is required.

- 4+ years of industry experience - Strong programming skills with expertise in C++ and the Chromium codebase (Desktop or Mobile) - Interest in AI and large language models - Passion for delivering a great user experience, including building nice UI, creating good UX, and writing reusable code - Understands how to manage performance and speed - Comfortable working with a small, fast-moving team and willing to take ownership - Passion for shipping

- Strong programming skills with the ability to work across the full stack - Self-motivated with a willingness to take ownership of tasks - Good quantitative understanding of data and experimentation - Experience running A/B tests with experimentations platforms (Eppo, StatSig) - Experience with marketing technology platforms (Singular, Appsflyer) - A passion for shipping quality products - 4+ years of industry experience - Experience with tech stack: NextJS, TypeScript, Python, Docker, AWS, Ver…

- Experience with ML systems and deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX) - Familiarity with common LLM architectures and inference optimization techniques (e.g., continuous batching, quantization, etc.) - Experience with deploying reliable, distributed, real-time model serving at scale - (Optional) Understanding of GPU architectures or experience with GPU kernel programming using CUDA

- Pursuing a Master’s or PhD (or recently graduated) in Computer Science with a focus on Artificial Intelligence or Performance - Experience with ML frameworks (Torch, JAX) - Experience with GPU programming (CUDA, Triton) - Experience with High-Performance Computing (OpenMPI)

Candidates should possess 9+ years of general engineering experience, 3+ years of ML/deep learning experience, and 5+ years of engineering management experience. Strong familiarity with Deep Learning, Agents Products, Evals, and the open source training stack is required, along with a strong product intuition and taste for user experience excellence. Ability to make hard technical and research tradeoffs and remove research and engineering blockers is also necessary.

Candidates should possess strong experience with Python, extensive knowledge of databases and caching systems, and demonstrable experience working with AWS cloud infrastructure at scale. Furthermore, they must have experience with high-scale data and non-deterministic systems, such as LLMs, and a minimum of 4 years of engineering experience.

Candidates are required to have 4+ years of industry experience, expertise in TypeScript and top frameworks, expertise in Git and TypeScript building tools, strong Javascript fundamentals, and a proven track record of working with a modern frontend stack. They should enjoy the craft of building nice UI, creating a good UX, and writing reusable and testable code, and understand low-level intricacies and app performance. Comfort working with a small, fast-moving team and a passion for shipping are…

Candidates should possess at least 3 years of experience in billing support, payment operations, or enterprise customer support, along with extensive hands-on experience with the Stripe platform, including Stripe Dashboard navigation and reporting, and understanding of Stripe APIs.