Machine Learning Engineer, Implicit Signals

OpenAI

. Build, deploy, and operate production classification and evaluation systems .

Posted 10/13/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $381,000 - $510,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, deploying, and optimizing production machine learning systems, with a strong focus on classifier training, evaluation, and performance improvement. Combines software engineering skills with a solid foundation in supervised learning and statistical analysis to ensure reliable and efficient model execution.

Highest-signal resume keywords

Machine Learning Project DeploymentSupervised LearningModel EvaluationSoftware Engineering SkillsModel Distillation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Classifier TrainingModel ServingBatchingCachingThroughput OptimizationLatency OptimizationCompute UtilizationStatistical AnalysisExperimental DesignPerformance Diagnosis

Soft Skills

CollaborationProblem-SolvingScientific JudgmentAdaptability

Tools & Technologies

AI AgentsProduction ML Systems

Industry Keywords

Model CalibrationRepresentation LearningInference PerformanceMeasurement Bias

About the role

Key responsibilities & impact

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
Validate classifier quality and efficiency before deployment
Own reliability and observability of deployed classifiers
Diagnose production issues and improve classifier performance over time
Design rigorous evaluations assessing accuracy, calibration, generalization, and potential measurement bias
Partner with software engineers to integrate models into reliable execution systems and support safe rollouts
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, evaluation criteria, and production requirements

Requirements

What you’ll need

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 ability to build maintainable production ML systems
Experience reasoning about inference performance and tradeoffs between quality, latency, and compute cost
Ability to combine 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
Experience with model distillation, representation learning, calibration, or efficient inference is a plus

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
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)
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
Multiple paid coordinated company office closures throughout the year for focus and recharge
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
Daily meals in offices, and meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching and wellness stipends may also be provided
Immigration and sponsorship support may be provided based on individual circumstances