Research Engineer, Post-Training (All Industry Levels)
Joining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models, optimizing their performance, and ensuring they meet the highest standards of quality and efficiency. Your work will directly contribute to our groundbreaking advancements in AI, helping shape an era where technology is not just a tool, but a companion in our daily lives. At Character.AI, your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future.
About the role ==================
The Post-Training team is responsible for developing our powerful pretrained language models into intelligent, engaging, and aligned products.
As a Post-Training Researcher, you will work across teams and our technical stack to improve our model performance and training methods, including data, compute and algorithms. You will get to shape the conversational experience of millions of users per day.
Example projects:
- Develop alignment algorithms and loss functions to improve data sample efficiency.
- Write data pipelines to process diverse web data into a format models can ingest.
- Identify quality signals to understand our model’s performance in the real world.
- Design sampling algorithms to improve serving efficiency of large generative models.
Job Requirements ====================
- Write clear and clean production-facing and training code
- Experience working with GPUs (training, serving, debugging)
- Experience with data pipelines and data infrastructure
- Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)
- Track-record of exceptional research or creative applied ML projects
Nice to Have ================
- Experience with product experimentation and A/B testing
- Experience training large models in a distributed setting
- Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
- Publications in relevant academic journals or conferences in the field of machine learning
**Ready to empower the world with AGI? 🚀 ** ----------------------------------------------
Founded in 2021 by AI pioneers Noam Shazeer and Daniel De Freitas, Character is a full-stack AI powerhouse and ranks among the most utilized AI research platforms globally. Our innovative approach allows users to customize their experience with personalized AI 'Characters.'
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.
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.
We encourage you to apply even if you don’t meet all qualifications. Underrepresented individuals often experience imposter syndrome—don’t underestimate yourself.
### Our commitment to diversity: Character values diversity and welcomes applicants of all backgrounds. We are an equal opportunity employer and 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 us.
Compensation Range: $150K - $350K
About Character.ai
Character.ai provides open-ended conversational applications in which users create characters and converse with them.
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