Member of Technical Staff (Software Engineer, Training Infrastructure)
Summary
Software engineer on Perplexity's Training Infrastructure team building large-scale RL and agent evaluation platforms. You'd design distributed systems orchestrating AI workloads on global compute (AWS, Kubernetes) and build interfaces/tooling for launching, managing, and analyzing ML experiments.
Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses.
We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more!
A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration.
Qualifications
2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance.
Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development.
BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
Why Perplexity is different
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Skills
As published by ashby · 6 questions · 2 written answers
Basics
Name, Email, Resume, Location
Short answers (2)
- Phone Number
- Exercise Submission (Shared URL)
Pick from a list (2)
- Will you now or in the future require sponsorship for employment visa status in the United States?
- Are you able to come into the office four days per week?
Written answers (2)
- What are the most interesting aspects of Perplexity that you're excited to work on? optional
- How do you use AI in your day-to-day work? What are some of the underappreciated benefits and/or pain points of your favorite AI tools? optional