Research Engineer, Data

Cartesia; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Lunch, dinner and snacks at the office

Fully covered medical, dental, and vision insurance

401(k)

Relocation and immigration support

Unique office culture

Job summary

A leading technology company in San Francisco is seeking a Machine Learning Engineer to ensure the quality and coverage of data across diverse languages. You will design large-scale datasets, evaluate models, and implement quality control systems. The ideal candidate has expertise in multilingual datasets and a strong background in applied ML. This full-time role offers competitive benefits, including fully covered insurance and in-office perks, in a supportive team environment.

Qualifications

• Experience building or working with large multilingual datasets.
• Experience with generative models (speech, text, or multimodal).
• Strong applied ML background with a focus on data‑centric approaches.
• Strong applied ML background with a focus on data-centric approaches.
• Excitement for building scalable systems that bridge research and production.

Responsibilities

• Design and build large‑scale datasets for model training.
• Build evaluations of speech models via manual annotation and automated metrics.
• Implement techniques for steering data generation to improve model intelligence.
• Create automated quality control systems for data validation.
• Collaborate with product teams for multilingual support.

Skills

Large multilingual datasets

Generative models

Data-centric approaches

Human annotation guidance

Excitement for building scalable systems bridging research and production

Job description

About Cartesia

Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.

We’re pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large‑scale foundation models. 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.

About The Role

To build truly global AI, our models must be trained on data that reflects the world’s diversity of languages and cultures. We are searching for a Machine Learning Engineer to own the quality and coverage of the data behind our models. You will be our in‑house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale.

Your Impact

• Design and build large‑scale datasets for model training.
• Build evaluations of speech models, both via manual annotation and at scale with automated metrics.
• Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.
• Build automated quality control systems to validate and filter generated data.
• Partner with product teams to ensure support for key languages and markets.

What You Bring

• Experience building or working with large multilingual datasets.
• Experience with generative models (speech, text, or multimodal).
• Ability to help guide human annotation and evaluation across multiple languages.
• Strong applied ML background with a focus on data‑centric approaches.
• Excitement for building scalable systems that bridge research and production.

What We Offer

🍽 Lunch, dinner and snacks at the office.

🏥 Fully covered medical, dental, and vision insurance for employees.

🏦 401(k).

✈️ Relocation and immigration support.

🦖 Your own personal Yoshi.

Our Culture

🏢 We’re an in‑person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.

🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.

🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.