Character.AI
Software Engineer, Backend/Applied ML (Safety & Integrity)
Redwood City, CA
Sponsorship not specifiedDetected 196 days ago
PythonJavaGoDistributed SystemsAlgorithmsMachine LearningData EngineeringLLMsA/B TestingResearchLeadershipCommunicationCollaborationProblem SolvingMentoring
About the role
- We're looking for a talented and creative Software Engineer to join our Safety Engineering team at Character.AI http://Character.AI!
Responsibilities
- Architect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.
- Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products.
- Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development, including specific considerations for the safety and ethics of Generative AI.
- Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems.
- Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.
Requirements
- 8+ years of professional software engineering experience, with a strong emphasis on backend systems development.
- Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.
- Expertise in one or more backend programming languages such as Python, Go, Java, or C++.
- Strong communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.
- Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.
- Experience leading large, cross-cutting technical projects.
Benefits
- Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, with a keen eye on addressing Generative AI safety concerns with an alignment with company objectives.
- Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges.
Equal opportunity
- You care deeply about Trust & Safety and see it as a value-add to the business
- Contributions to open-source projects or publications in relevant fields.
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This listing is sourced directly from Character.AI's careers page and normalized into a canonical job model.