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Character.AI

Platform to create AI virtual characters

Software Engineer - Backend/Applied ML, Safety & Integrity

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$150k - $300k /yrHybrid

About the Job

Requirements

  • At least 8 years of professional software engineering experience, with a strong emphasis on backend systems development.
  • A bachelor's, master's, or PhD degree in Computer Science, Engineering, or a related technical field.
  • A proven track record of designing, building, and operating complex, large-scale, highly available distributed systems.
  • Expertise in one or more backend programming languages, such as Python, Go, Java, or C++.
  • Hands-on experience applying machine learning techniques to real-world problems, specifically with demonstrable experience addressing integrity, trust, or safety challenges.
  • A solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring.
  • The ability to work in a fast-paced development environment and deliver timely results.
  • Strong communication, interpersonal, and leadership skills, including the ability to explain complex technical concepts to diverse audiences.

Responsibilities

  • Design, develop, and maintain scalable, resilient, and performant backend systems that power integrity and safety features.
  • Lead technical design and implementation of backend solutions for detecting, preventing, and mitigating integrity risks, including content classification, spam, generative AI misuse, and harmful or biased content generation.
  • Conceptualize, develop, deploy, and iterate on machine learning models and algorithms for content classification, anomaly detection, risk scoring, behavior analysis, and generative AI safeguards such as content filtering, bias mitigation, and output monitoring.
  • Work with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design solutions, and deliver integrity systems, especially for generative AI products.
  • Drive the long-term technical vision and roadmap for backend integrity systems and applied machine learning capabilities, addressing generative AI safety in alignment with company objectives.
  • Provide technical guidance and mentorship to engineers on the team and across the organization.
  • Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the machine learning lifecycle, including safety and ethics considerations for generative AI.
  • Analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and machine learning models.
  • Keep abreast of emerging threats, technologies, backend engineering and distributed systems advances, applications of machine learning to trust and safety, and generative AI safety research and mitigation techniques.

Desired Qualifications

  • A strong interest in Trust & Safety and recognizing its value to the business.
  • Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.
  • Contributions to open-source projects or publications in relevant fields.
  • Experience leading large, cross-cutting technical projects.

About the Company

Character.AI

Platform to create AI virtual characters

Character AI builds an AI platform that lets users create and manage virtual characters with distinct personalities for use in games and business applications. The platform enables NPCs and virtual customer service representatives to interact with people in realistic, engaging ways. It works by providing tools to design character personalities, manage their behavior, and deploy them across digital environments, typically via a subscription or licensing model that gives ongoing access and updates. What sets Character AI apart is its focus on both entertainment (gaming) and practical service use, offering a scalable, multi-domain solution with a steady revenue stream rather than a single-market product. The company's goal is to broaden digital interactions by making character-driven experiences more natural and personalized, driving engagement and value for developers and businesses in the growing AI market.

Company size
201-500
Company stage
Series A
Total funding
$150M
Headquarters
Menlo Park, CA
Founded
2021

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