About the role

Data is the most important ingredient in training larger and better models. Getting the best data is critical to making our models more intelligent and empathetic.  How good is our current data? What new data do we need to ensure our success? What data mixture should we use in the training runs? 

As a passionate LLM data researcher, you love uncovering interesting subsets of data, creating clear dashboards to communicate your findings, and proposing ideas for unexplored opportunities. You are also extremely interested in learning how to support large language model development with unparalleled data quality and performance insights. You believe in data-centric AI, and know how to improve LLMs from the data perspective. You want to be involved in training ever larger foundation models.

Responsibilities

• Curate, mine, and analyze datasets for LLMs

• Work with our pre-training/ post-training team to identify datasets needed for specific user experiences

• Run hundreds of careful ablation experiments to improve our models’ performance on benchmarks we care about

• Help maintain and improve core tables in our data lake used for research across the company

• Alongside the data platform team, you will be responsible for making sure this vital resource is available, understood, and of the highest quality.

Who we’re looking for

Required Experience:

• A bachelor’s degree in a quantitative field (Physics, Mathematics, Computer Science); PhD preferred.

• 2+ years experience in industry, training, and evaluating LLMs.

• Experience mining text and graphical data

• Spark Experience

Additional Desired Experience:

• Experience with hill climbing on LLM benchmarks

• Experience with cloud platforms like GCP

• Experience with Kubernetes

• Data visualization skills

• SQL Wizardry

You will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company.

About Character.AI

Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a leading AI company offering personalized experiences through customizable AI ’Characters.’ As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.

Noam co-invented core LLM tech and was recently honored as one of TIME’s 100 Most Influential in AI. Daniel created LaMDA, the breakthrough conversational AI now powering Google’s Bard.

In just two years, we achieved unicorn status and were named Google Play’s AI App of the Year – a testament to our groundbreaking technology and vision.

Ready to shape the future of AGI? 🚀

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.