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Member of Technical Staff (Software Engineer, Training Infrastructure)

Perplexity Berlin·$220,000 – $405,000

Primary stack

PythonRustC++GoAWSKubernetesTRl (Transformer Reinforcement Learning)

Job description

About the Position

Perplexity is seeking a Member of Technical Staff (Software Engineer, Training Infrastructure) to join our AI Research & Systems team in San Francisco, California. 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.

Responsibilities

  • Build distributed systems that orchestrate AI workloads across global-scale compute infrastructure.
  • Define novel user and agent interfaces for designing, managing, and launching experiments.
  • Create tools that make experiment results legible to humans and agents alike.
  • Enable everything from ad-hoc experiment retrospectives to closed-loop autoresearch.

Requirements

  • 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.
  • Experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes.
  • Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure.
  • BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.

We Offer

  • Competitive salary range of $220K – $405K per year.
  • Offers equity.
  • Comprehensive benefits program including health, dental, vision, retirement, fitness, commuter, and dependent care accounts.

About the Company

At Perplexity, we are committed to:

  • Craftsmanship: Building 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 other's strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Employment Details

  • Location: San Francisco, California, United States
  • Employment Type: Full-time, On-site
  • Compensation: $220K - $405K per year

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