Machine Learning Engineer, Implicit Signals
Core
Build, deploy, and operate production classification and evaluation systems that provide feedback to post-training and research teams.
Role type
Senior IC machine learning engineer (model evaluation & inference)
Builds
Production classification and evaluation systems for model behavior analysis
Domain
AI research infrastructure / Model evaluation
Deliverable
production ML models
Required skills
supervised learning, statistics, experimental design, model evaluation, software engineering, inference optimization, model distillation, representation learning, calibration
Preferred skills
model distillation, representation learning, calibration, efficient inference
Technologies
(none explicitly listed)
Responsibilities
Build and deploy production classification systems; Optimize inference (serving, batching, latency, cost); Train classifiers via fine-tuning and distillation; Ensure reliability and observability of deployed models; Design rigorous evaluations for accuracy and bias; Partner with engineers on system integration; Build reusable engineering tools
Seniority
Senior, hands-on IC
