← All roles

Machine Learning Engineer, Implicit Signals

OpenAI· Applied AI
Apply on company site
Hybrid (San Francisco)$381k - $510kFull-timePosted 1w ago

About the role

Machine learning engineer to develop production-ready classification and evaluation capabilities for model behavior, spanning supervised fine-tuning, distillation, evaluation, deployment, and production inference.

Responsibilities

  • Build, deploy, and operate production classification and evaluation systems that provide useful feedback to post-training and research teams.
  • Optimize production inference, including model serving, batching, caching, throughput, latency, compute utilization, and cost.
  • Train and optimize classifiers using supervised fine-tuning and distillation, validating quality and efficiency before deployment.
  • Own the reliability and observability of deployed classifiers, diagnose production issues, and improve their performance over time.
  • Design rigorous evaluations that assess accuracy, calibration, generalization, and potential measurement bias while guiding production tradeoffs.
  • Partner with software engineers to integrate models into reliable execution systems and support safe rollouts.
  • Build reusable engineering tools that make classifier training, evaluation, deployment, and iteration faster and more repeatable.
  • Work with post-training researchers and data scientists to translate their needs into modeling objectives, evaluation criteria, and production requirements.

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.
  • Experience with model distillation, representation learning, calibration, or efficient inference is a plus.

Skills

Required:Production ML system designSupervised learningModel evaluation and bias assessment

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpenAI

ai-infrastructure-and-developmentliquid-ai-recruiting-targetllmsetter-30setter-30-2026-q1speech-to-texttext-to-speechvoice-ai-stack
Company profileWebsite

More open roles at OpenAI