Software Engineer, Implicit Signals

Job Description

Design, build, and operate services, APIs, and online and offline pipelines for classification and evaluation, improving model-serving performance and platform reliability at scale. Partner with researchers, data scientists, and machine learning engineers to deliver production capabilities and tools that support experimentation and iteration.

Requirements: Candidates should have experience designing, building, and operating software services or distributed systems at scale, with strong fundamentals in APIs, concurrency, caching, performance, and failure recovery. They should demonstrate end-to-end ownership, sound architectural judgment, product sense, comfort with ambiguity, and fluency using AI agents; machine learning, model-serving, or inference-optimization experience is a plus.

Key Skills: Software Engineering, Distributed Systems, API Design, Concurrency, Caching, Performance Optimization, Failure Recovery, Production Reliability, Observability, Incident Response, Data Engineering, Model Serving, Inference Optimization, Machine Learning, Experimentation Tools, AI Agents