Applied Researcher, Generative Audio Systems

Cartesia; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Health insurance

Parental leave

401(k)

Commuter allowance

Flexible PTO

Meals & snacks

Your own personal Yoshi

Job summary

Cartesia is hiring for an Audio Post-Training role to build and improve capabilities that shape how users interact with our generative audio models. This team spans research to production, designing evaluations, data pipelines, finetuning, RL, and model evaluation.

You will translate customer needs into research plans, own end-to-end delivery, and communicate improvements to product and customers. A strong foundation in software and ML, plus a drive to solve real-world problems, is essential.

Qualifications

• Strong fundamentals in software engineering, machine learning, debugging complex systems, and the ability + desire to learn quickly.
• Experience building and ensuring quality of large multilingual datasets.
• Experience training and debugging generative models (speech, text, or multimodal), especially SFT, RL, synthetic data, and evaluation (both human and automated).
• Excitement about solving problems grounded in real customer needs, not just benchmarks.
• Bonus points if you have native proficiency in other languages!

Responsibilities

• Collaborate with product teams to understand and prioritize customer asks
• Cut through the ambiguity of vaguely described behavioral problems to make concrete research plans.
• Ideate and experiment across the full modeling stack, including data processing, synthetic data, SFT, RL, and evals to solve for high priority model capabilities
• Root cause failures in production models and understand how to fix them in future model iterations
• Decide which features and capabilities are ready for public launch

Skills

Software engineering

Machine learning

Debugging complex systems

Multilingual datasets

Generative models

SFT / RL experience

Customer-focused problem solving

Multilingual proficiency bonus

Job description

Cartesia is hiring for an Audio Post-Training role to build and improve capabilities that shape how users interact with our generative audio models. This team spans research to production, designing evaluations, data pipelines, finetuning, RL, and model evaluation.

You will translate customer needs into research plans, own end-to-end delivery, and communicate improvements to product and customers. A strong foundation in software and ML, plus a drive to solve real-world problems, is essential.