Machine Learning Engineer, Implicit Signals

📋 Description

• Build, deploy, and operate production classification and evaluation systems that provide useful
• Optimize production inference, including model serving, batching, caching, throughput, latency
• Train and optimize classifiers using supervised fine-tuning and distillation, validating quality
• Own the reliability and observability of deployed classifiers, diagnose production issues, and
• Design rigorous evaluations that assess accuracy, calibration, generalization, and potential
• Partner with software engineers to integrate models into reliable execution systems and support

🎯 Requirements

• Experience taking ML projects from problem formulation and experimentation through production
• Strong foundations in supervised learning, statistics, and experimental design.
• Practical experience evaluating models, investigating systematic errors, and working with imperfect
• Strong software engineering skills and the ability to build maintainable production ML systems.
• Experience reasoning about inference performance and the tradeoffs between quality, latency, and
• The ability to combine careful scientific judgment with a practical approach to shipping and