Cartesia

Researcher, Post Training

*HQ - San Francisco, CA

Sponsorship not specifiedDetected 275 days ago

DatabricksMachine LearningSystems EngineeringResearch

About the role

The next leap in model intelligence won't come from scale alone - it will come from better post-training and alignment.
As a Researcher on the Post-Training team, you'll work at the intersection of machine learning research, alignment, and infrastructure, designing new techniques for preference optimization, model evaluation, and feedback-driven learning.
Your work will directly shape how Cartesia's foundation models learn, improve, and ultimately connect with people.

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
Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others.
We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
You'll explore how feedback signals can guide models to reason more effectively across modalities, and you'll build the infrastructure to measure and improve these behaviors at scale.
🦖 Your own personal Yoshi

Deep knowledge of preference optimization and alignment methods, including RLHF and related approaches
Experience designing evaluations and metrics for generative or multimodal models
Ability to trace and diagnose complex behaviors in model performance across the training and evaluation pipeline

💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Experience with multimodal model training (e.g., text, audio, or vision-language models)

Our mission is to architect AI that learns from and interacts with the world like humans do.

We provide visa sponsorship support and assess each circumstance on a case-by-case basis.
However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success.
Your Recruiter will work with you to understand your visa sponsorship needs from the first call.

This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.