Software Engineer, Implicit Signals
Core
Build and evolve a classification and evaluation platform that provides fast, reliable feedback on model behavior for post-training and research teams.
Role type
Senior Software Engineer (ML Infrastructure & Evaluation Systems)
Builds
Online and offline classification pipelines, software services, APIs, and experimentation tools for model evaluation.
Domain
Artificial Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Distributed systems design, API design, concurrency, caching, performance optimization, failure recovery, production reliability, observability, incident response, product judgment, AI agent fluency
Preferred skills
Model serving, inference optimization, ML platforms, statistics, data science
Technologies
None explicitly listed
Responsibilities
Design and build software services and APIs for classifiers and evaluations; Build and operate online and offline classification pipelines; Improve model-serving performance (throughput, latency, concurrency); Build tools for experimentation and debugging; Own production reliability and incident response; Partner with ML engineers to bring capabilities to production; Collaborate with researchers to shape product improvements.
Seniority
Senior, hands-on IC