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Research Engineer, Post-Training (All Industry Levels)

Character.AI· Technical Staff - ML
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Hybrid (Redwood City or New York City)$225k - $400kFull-timePosted 11mo ago

About the role

Research Engineer on the Post-Training team focusing on fine-tuning AI models, improving performance, and aligning products. Collaborates across teams to enhance model data, compute, and algorithms, shaping conversational experiences for millions of users.

Responsibilities

  • Develop alignment algorithms and loss functions to improve data sample efficiency.
  • Write data pipelines to process diverse web data into a format models can ingest.
  • Identify quality signals to understand our model’s performance in the real world.
  • Design sampling algorithms to improve serving efficiency of large generative models.

Qualifications

  • PhD or equivalent (All Industry Levels)
  • Write clear and clean production-facing and training code
  • Experience working with GPUs (training, serving, debugging)
  • Experience with data pipelines and data infrastructure
  • Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)
  • Track-record of exceptional research or creative applied ML projects

Skills

Required:PhD or equivalentProduction-facing and training codeGPUs (training, serving, debugging)Data pipelines and data infrastructureModern ML techniques (reinforcement learning, transformers)

Benefits

  • Top-notch health coverage for you & your family, with majority of the premium covered
  • Generous 401(K) contribution
  • Paid leave up to 20 weeks for new parents
  • 4 weeks of PTO
  • Daily in-office catering plus a monthly Doordash stipend
  • Monthly wellness stipend
Last updated Jul 15, 2026. Interested? Apply on the company site.
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