Character AI

Research Engineer focused on multimodal AI, specifically video and image generation models. The role involves training, fine-tuning, and deploying these models, including joint audio-visual generation and image-to-video. It also includes designing new architectures, optimizing models for inference, and building large-scale data pipelines. The company is a consumer-facing AI platform.

Research Engineer focused on AI safety and alignment for large language models. Responsibilities include developing evaluation methodologies, researching alignment techniques, conducting adversarial testing, mitigating harmful behaviors using RLHF and fine-tuning, and translating research into scalable solutions. Requires a PhD or equivalent, strong coding skills, GPU experience, and understanding of transformers and reinforcement learning with a focus on safety implications.

Research Engineer on the ML Systems team at Character.AI, focusing on optimizing ML training and inference systems, GPU cluster performance, fine-tuning AI models, and serving LLMs at scale. The role involves improving training performance and inference runtime, shaping conversational experiences, and developing systems for multimodal models and distributed RLHF.

Research Engineer on the Post-Training team responsible for fine-tuning AI models, optimizing performance, and ensuring quality and efficiency. Works on alignment algorithms, data pipelines, quality signals, and sampling algorithms for large generative models to shape conversational experiences.

Software Engineer on the AI Platform team at Character.AI, focusing on building tooling and datasets for model training, developing data pipelines for continuous model improvement and human feedback alignment, and supporting data infrastructure (Spark, Beam, GCP). Requires 5+ years of data engineering experience in a consumer-facing tech company, with Big Query, dbt, Ray, Beam, and Spark.

Machine Learning Infrastructure Engineer to design, build, and maintain training and serving infrastructure for ML research, focusing on GPU allocation and utilization, cluster issue diagnosis, and deployment monitoring.

Technical Program Manager for AI Infrastructure at Character.AI, focusing on leading programs for model development and serving systems at scale. This role involves shaping infrastructure strategy, aligning roadmaps, and driving execution across training, evaluation, and inference, ensuring systems are reliable, efficient, and scalable for millions of users. The TPM will partner with engineering, research, and product teams, manage complex initiatives, track key metrics, and improve developer velocity.

Product Manager for Character.AI's core product, focusing on conversations, characters, and creator tools. The role involves translating AI model capabilities into engaging consumer experiences, driving innovation in AI entertainment, and collaborating with research, engineering, and design teams. Success is defined by sustained user engagement and product quality.

Software Engineer, Backend/Applied ML (Safety & Integrity) at Character.AI. Focuses on designing, developing, and scaling backend systems and applying ML to address integrity and safety challenges in human-to-AI interaction, particularly for Generative AI products. Involves content classification, anomaly detection, risk scoring, and developing safeguards.

Software/ML Engineer to build and optimize applied ML models and infrastructure for Character.AI's consumer-facing discovery surfaces (recommendation, ranking, search), including data pipelines, model training, and serving. Focus on shipping intelligent features end-to-end.

Staff Data Scientist at Character.AI focused on scaling and optimizing monetization systems (subscriptions, advertising, virtual currency) for a consumer-facing AI platform. The role involves defining metrics, leading experimentation, and translating data into actionable insights to drive revenue growth without compromising user experience.

Product Marketing Manager at Character.AI, focusing on go-to-market strategy, app store optimization (ASO), and in-product monetization copy for AI-driven entertainment experiences. The role involves leading product launches, defining messaging, driving conversion through copy, and optimizing app store presence to increase user adoption and revenue.

Character.AI is seeking a Product Manager for Activation & Growth to own the critical transition from first interaction to long-term engaged user. This role focuses on building systems to improve acquisition efficiency, accelerate time-to-value, and compound retention and monetization. Responsibilities include optimizing onboarding, running A/B tests, improving retention, designing growth loops, and optimizing monetization. The ideal candidate has 5+ years of consumer product management experience with a proven track record in growth, activation, and retention metrics, strong analytical skills, and experience with A/B testing.

Software Engineer focused on the Safety Engineering team at Character.AI. This role involves designing and building front-end experiences and tooling for Trust & Safety systems, ensuring safe user interactions with AI. Responsibilities include collaborating with product, design, and Trust & Safety operations, developing AI-assisted moderation tools, and leveraging user data to improve LLMs and AI models. The role emphasizes user experience, platform reliability, and cross-functional collaboration to define industry best practices in human-to-AI interaction.

Software Engineer, Core Product at Character.AI, focusing on building user-friendly interfaces for their AI-powered platform. The role emphasizes front-end development, design systems, and collaboration with design and product teams to create engaging user experiences for a consumer-facing AI application.

Backend Engineer responsible for building and maintaining scalable, high-performance backend systems for Character.AI's consumer-facing platform. Collaborates with cross-functional teams to design and deliver robust solutions, ensuring system performance, reliability, and security.

Software Engineer focused on monetization features for a consumer AI product, involving payments, subscriptions, and virtual currency systems. The role requires building and optimizing user-facing features across mobile and web, experimenting with monetization surfaces, and collaborating with design, product, and data science teams. Experience with consumer products, front-end technologies (Typescript, React), and backend services (Python, Golang) is expected, with a focus on shipping features that drive measurable outcomes.