Machine Learning Engineer, Implicit Signals

The role

You will develop new classification and evaluation capabilities and bring them into production. You will build, deploy, and operate systems that provide feedback to post-training and research teams.

What you will do

• Build, deploy, and operate production classification and evaluation systems.
• Optimize production inference including model serving, batching, caching, throughput, latency, compute utilization, and cost.
• Train and optimize classifiers using supervised fine-tuning and distillation.
• Own the reliability and observability of deployed classifiers.
• Design rigorous evaluations to assess accuracy, calibration, generalization, and potential measurement bias.
• Partner with software engineers to integrate models into reliable execution systems.
• Build reusable engineering tools for classifier training, evaluation, deployment, and iteration.
• Work with post-training researchers and data scientists to translate needs into modeling objectives and production requirements.

Required qualifications

• Experience taking ML projects from problem formulation and experimentation through production deployment.
• Strong foundations in supervised learning, statistics, and experimental design.
• Practical experience evaluating models, investigating systematic errors, and working with imperfect labels.
• 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 compute cost.
• The ability to combine careful scientific judgment with a practical approach to shipping and operating software.
• Comfort working closely with researchers and engineers on open-ended problems.
• Fluency in using AI agents to move quickly across multiple workstreams in a fast-paced environment.

Nice to have

• Experience with model distillation, representation learning, calibration, or efficient inference

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.