Researcher, Post Training
*HQ - San Francisco, CA • FullTime
Posted 9mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Cartesia is seeking a Researcher for their Post-Training team to develop methods and systems that make multimodal models adaptive, aligned, and grounded in human intent. This role involves working at the intersection of machine learning research, alignment, and infrastructure, focusing on preference optimization, model evaluation, and feedback-driven learning. You will explore how feedback signals can guide models to reason more effectively across modalities and build the infrastructure to measure and improve these behaviors at scale. Your work will directly influence how Cartesia's foundation models learn, improve, and connect with people.
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 with research, product, and platform teams to define best practices for creating specialized models.
- Implement, debug, and scale experimental systems for reliability and reproducibility.
- Translate research findings into production-ready systems to enhance model reasoning, consistency, and human alignment.
Requirements
- 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.
Benefits
- Competitive base salary
- Attractive equity package
- Fully covered medical insurance along with dental and vision for you and your family
- 9 weeks paternity leave
- 12 weeks maternity leave
- 401(k)
- Monthly commuter allowance
- Flexible PTO
- Provided lunch, dinner, and snacks daily