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All jobs

Research Engineer, Post-Training (All Industry Levels)

Character.AI · Redwood City or New York City

Extracted from the posting

Base
$225,000 – $400,000
Remote
On-site
Stack
Kubernetes, Docker

Research Engineer on the Post-Training team, which fine-tunes pretrained language models through alignment algorithms, loss functions, data pipelines, and sampling algorithms for serving efficiency. Requires a PhD or equivalent, GPU experience, data pipeline experience, and knowledge of reinforcement learning and transformers. Nice-to-haves include A/B testing, distributed training, and Kubernetes/Docker deployment.

About the role and team

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.

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.


What you'll do

  • 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.


Who you are

  • "All Industry Levels": have at least PhD (or equivalent)
  • 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



About Character.AI

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.


In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.


Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

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.

Compensation: $225K - $400K

Technologies

KubernetesDocker
Character.AI
Character.AI
Website

Job details

TypeFull-time
Work ModeOn-site
LevelMid Level
Location🇺🇸Redwood City, CA🇺🇸New York, NY
Salary$225,000 - $400,000
PostedNov 06, 2026
Apply Now

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