Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)

Perplexity; Seattle (WA); Presencial; USD 180 000 - 260 000; Tempo integral

Resumo da oferta

Perplexity in Seattle is hiring a senior software/ML engineer to build enterprise evaluation environments and automated graders for agents, with the goal of improving reliability, latency, and cost across complex workflows.

You will design robust backend systems, run experiments, and collaborate with cross‑functional teams to advance model routing, tool use, and evaluation infrastructure in production.

Qualificações

• Requires 5+ years of software or machine learning engineering experience.
• Strong system design and backend programming skills.
• Hands-on experience building or improving LLM applications or agents; cross-team initiatives.

Responsabilidades

• Build realistic enterprise evaluation environments and evaluation infrastructure.
• Develop automated graders to measure agent performance on complex workflows.
• Analyze failures and ship improvements to tools, routing, and execution strategies.

Conhecimentos

Software Engineering

Machine Learning Engineering

Backend Development

Python

Go

Rust

System Design

LLM Applications

AI Agents

Evaluation Infrastructure

Benchmark Design

Automated Grading

Tool Use

Model Routing

Inference Efficiency

Statistical Analysis

Descrição da oferta de emprego

Build realistic enterprise evaluation environments, evaluation infrastructure, and automated graders to measure agent performance on complex workflows. Analyze failures and ship improvements to agent tools, skills, context, model routing, and execution strategies to increase task success and reliability while reducing latency and cost.

Requirements: Requires 5+ years of software or machine learning engineering experience, strong system design and backend programming skills, and hands-on experience building or improving LLM applications or agents. Candidates should have deep expertise in at least one relevant area, strong experimental judgment, and a record of leading cross-team initiatives through production adoption.

Key Skills: Software Engineering, Machine Learning Engineering, Backend Development, Python, Go, Rust, System Design, LLM Applications, AI Agents, Evaluation Infrastructure, Benchmark Design, Automated Grading, Tool Use, Model Routing, Inference Efficiency, Statistical Analysis