Character.AI Logo

Character.AI

Research Engineer, Post-Training (All Industry Levels)

Reposted One Month Ago
Be an Early Applicant
In-Office
Redwood City, CA, USA
225K-400K Annually
Expert/Leader
In-Office
Redwood City, CA, USA
225K-400K Annually
Expert/Leader
As a Research Engineer, you'll fine-tune AI models, optimize performance, develop algorithms, and process data to enhance conversational AI experiences.
The summary above was generated by AI
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.

HQ

Character.AI Palo Alto, California, USA Office

Palo Alto, CA, United States

Character.AI Menlo Park, California, USA Office

700 El Camino Real, Menlo Park, California, United States, 94025

Similar Jobs

17 Minutes Ago
In-Office
Sunnyvale, CA, USA
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead technical programs delivering GPU and CPU compute fleets from infrastructure handover through provisioning, validation, operational acceptance, and steady-state operations. Translate customer and business requirements into delivery plans, manage dependencies and blockers, assess capacity gaps, drive prioritization, establish readiness criteria, and coordinate cross-functional engineering and operations teams. Define delivery metrics, improve forecasting, and identify tooling, automation, and process improvements to increase provisioning throughput and operational readiness.
Top Skills: Computer NetworkingCpuData Center InfrastructureGpuHardware/Software IntegrationInfrastructure AutomationServer ProvisioningSQL
21 Minutes Ago
Remote or Hybrid
221K-387K Annually
Entry level
221K-387K Annually
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and deploy production-grade AI agents, assistants, models, and reusable skills. Develop secure agentic workflows with guardrails, isolation, and controls; integrate frameworks, tools, APIs, cloud services, and models; establish rigorous evaluation metrics for quality, safety, and reliability; rapidly prototype solutions and partner with engineering to harden them for production. Document solutions and contribute to AI Center of Excellence consulting and best practices.
Top Skills: AWSAzureClaude SdkDockerGCPGoogle Ai SdkKubernetesOpenai SdkPythonSkill.Md
22 Minutes Ago
In-Office
65K-80K Annually
Junior
65K-80K Annually
Junior
Artificial Intelligence • Information Technology • Software
Coordinate recruiting operations across interview scheduling, ATS management, agency tracking, job postings, candidate communications, recruiting files, reports, events, and travel logistics. Maintain accurate Ashby data and recruiting documentation while supporting recruiters and hiring managers. The role also contributes to sourcing, candidate outreach, job description updates, and broader recruiting process improvements in an early-stage startup.
Top Skills: AshbyGoogle DriveGoogle WorkspaceLinkedIn

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account