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Research Engineer, Post-Training (All Industry Levels)

Character.AI

Research Engineer, Post-Training (All Industry Levels)

Character.AI

Redwood City or New York City

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Team events and activities

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Generous paid time off and holidays

Learning

Equity

Healthcare

Parental Leave

Required Skills

Python

PostgreSQL

JavaScript

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.

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About Character.AI

Character.AI

Character.AI

Series A

Character.AI is an AI company that develops chatbot technology allowing users to create and interact with AI-powered characters. The platform enables conversations with fictional characters, historical figures, and custom-created personas.

51-200

Employees

Menlo Park

Headquarters

$1B

Valuation

Reviews

3.9

37 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

4.2

Career

3.6

Management

3.5

75%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Competitive compensation and benefits

Opportunity for career growth

Cons

Work-life balance varies by team

Career progression could be clearer

Room for improvement in processes

Salary Ranges

0 data points

L2

L3

L4

L5

L6

Mid/L4

L2 · Software Engineer L2

0 reports

$266,500

total / year

Base

$106,600

Stock

$133,250

Bonus

$26,650

$186,550

$346,450

Interview Experience

47 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 69%

Neutral 13%

Negative 18%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving