Researcher, Post Training
Cartesia· Research
*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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