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Machine Learning Engineer, Implicit Signals

Summary by AIEngineer.careers

Machine Learning Engineer, Implicit Signals is a Machine Learning Engineer role (full-time). with OpenAI. in SAN FRANCISCO, US. Compensation shown: $381K–$510K. Imported listing (source: devgigs.com). Apply on the employer's site (devgigs.com).

Imported listing (source: devgigs.com) · Apply on devgigs.com

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SAN FRANCISCO · US
$381K–$510K
Full-time
MID
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from devgigs.com

OpenAI is hiring a Machine Learning Engineer for its Implicit Signals team in San Francisco. The role focuses on building production classification and evaluation systems that support model and product decisions. You will own the full classifier lifecycle, from fine-tuning and distillation to serving optimization.

Responsibilities

  • Develop production classification and evaluation systems
  • Own the classifier lifecycle including fine-tuning and distillation
  • Optimize model serving performance
  • Build evaluation pipelines that inform product and model decisions

Requirements

  • Experience building and deploying machine learning models in production
  • Hands-on experience with fine-tuning and distillation techniques
  • Strong software engineering skills for model serving and optimization
  • Background in classification and evaluation systems

Nice to Have

  • Experience with large-scale model serving infrastructure
  • Familiarity with LLM evaluation methodologies

Tech Stack

ClassificationEvaluation SystemsKnowledge DistillationModel Fine-tuningModel Serving
OpenAI

OpenAI

San Francisco · US · 11490+ employees

OpenAI is an AI research and deployment company focused on ensuring that general-purpose artificial intelligence benefits humanity. Its work emphasizes capable systems, safety, alignment and broad access to AI.

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