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Researcher, Post Training

Cartesia· Research
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*HQ - San Francisco, CA$180k - $350kFull-timePosted 11mo ago

About the role

Researcher on the Post-Training team focusing on preference optimization, model evaluation, and feedback-driven learning to improve multimodal models and alignment.

Responsibilities

  • Own research initiatives to improve the alignment and capabilities of multimodal models
  • Develop new post-training methods and evaluation frameworks to measure model improvement
  • Partner closely with research, product, and platform teams to define best practices for creating specialized models
  • Implement, debug, and scale experimental systems to ensure reliability and reproducibility across training runs
  • Translate research findings into production-ready systems that enhance model reasoning, consistency, and human alignment

Qualifications

  • Deep knowledge of preference optimization and alignment methods, including RLHF and related approaches
  • Experience designing evaluations and metrics for generative or multimodal models
  • Strong engineering and debugging skills, with experience building or scaling complex ML systems
  • Ability to trace and diagnose complex behaviors in model performance across the training and evaluation pipeline

Skills

Required:Preference optimizationEvaluation design for generative or multimodal modelsML systems engineeringDiagnostics of model behavior across training/evaluation

Benefits

  • Compensation as described: competitive base salary with equity
  • Health Insurance (medical, dental, vision) for employee and family
  • Parental Leave: 9 weeks paternity, 12 weeks maternity
  • 401(k)
  • Commuter Allowance
  • Flexible PTO
  • Meals & Snacks provided daily
  • Personal perk: Your own personal Yoshi
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Cartesia

Real-time TTS API with AI laughter and emotion

Cartesia offers Sonic-3, a streaming text-to-speech API capable of generating natural, expressive voices with laughter in 40+ languages—built for AI agents and interactive applications.

AI voicesinteractive appsliquid-ai-recruiting-targetmultilingualstreaming APItext-to-speechvoice-ai-stack

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