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Researcher, Post Training

Cartesia*HQ - San Francisco, CAResearch
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Salary
$180K - $350K USD
Job type
Full-time
Posted
21 Oct 2025
Status
Open · checked 7d ago

About this role

Role Overview

The Researcher, Post Training role at Cartesia is a full-time position based out of the company headquarters in San Francisco, California. This role suits a machine learning professional who wants to focus on advancing multimodal model intelligence through innovative alignment and post-training methods.

Key Responsibilities

Own research initiatives designed to improve the alignment and capabilities of multimodal models.
Develop new post-training methods and evaluation frameworks to accurately measure model improvement.
Partner closely with research, product, and platform teams to establish best practices for creating specialized models.
Implement, debug, and scale experimental systems to ensure reliability and reproducibility across all training runs.
Translate research findings into production-ready systems that 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, paired with experience building or scaling complex machine learning systems.
Ability to trace and diagnose complex behaviors in model performance across the entire training and evaluation pipeline.

Nice to Have

Experience with multimodal model training, such as text, audio, or vision-language models.
Contributions to alignment research or open-source projects related to model evaluation or fine-tuning.
Background in designing or implementing human-in-the-loop evaluation systems.

Skills and Tools

Machine learning research and infrastructure
Preference optimization and alignment methods (RLHF)
Generative and multimodal model evaluation frameworks
Complex ML system scaling and debugging

Salary and Benefits

Competitive base salary ranging from $180,000 to $350,000 USD per year
Attractive equity package
Fully covered medical, dental, and vision insurance for employees and their families
9 weeks of paternity leave and 12 weeks of maternity leave
401(k) plan and monthly commuter allowance
Flexible paid time off policy
Daily provided lunch, dinner, and snacks

About the Company

Cartesia is an AI company on a mission to architect artificial intelligence that learns from and interacts with the world like humans do. The founding team met as PhDs at the Stanford AI Lab, where they invented State Space Models. The company is funded by leading investors including Index Ventures, Lightspeed Venture Partners, General Catalyst, and Databricks. Cartesia operates an in-office culture with locations in San Francisco, London, and Bangalore, and participates in E-Verify.

How to Apply

Please visit the official Cartesia careers page to submit your application for the Researcher, Post Training position.

Questions candidates ask

What is the salary range for the Researcher, Post Training role?

The annual base salary ranges from $180,000 to $350,000 USD, accompanied by an equity package.

Where is this position located?

This full-time position is based out of Cartesia's headquarters in San Francisco, California, as part of their in-office team policy.

What qualifications are required for this role?

Candidates need deep knowledge of preference optimization and alignment methods like RLHF, experience designing metrics for generative or multimodal models, strong ML system engineering and debugging skills, and the ability to diagnose complex model behaviors.

What benefits are offered to US employees?

US employees receive fully covered medical, dental, and vision insurance, an equity package, a 401(k), parental leave (9 weeks paternity and 12 weeks maternity), flexible PTO, daily meals and snacks, and a monthly commuter allowance.

Does Cartesia offer visa sponsorship?

Yes, Cartesia provides visa sponsorship support and assesses each circumstance on a case-by-case basis depending on the role and location.

Ready to apply?

The application is on the official Cartesia careers page.

Apply on company site