<h3>About the role</h3>We’re looking for scrappy and self-motivated people who have full-stack machine learning skills: collecting data, training state-of-the-art models, building evaluations, writing efficient inference algorithms, and iterating on user feedback. In the day-to-day, you will be responsible for developing new multimodal capabilities end-to-end. This means you will need to wear a lot of hats across the full ML stack. You should be comfortable thinking about all parts of the problem, and ready to work on any and all components of it.<h3>Responsibilities</h3><ul><li>Determining the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data</li><li>Developing new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed</li><li>Creating new evaluations that capture different aspects of generative outputs</li><li>Writing fast inference algorithms to serve these models at scale</li><li>Working with product teams to integrate feedback mechanisms into the product, which we use to improve the model</li><li>Working with large scale image/audio datasets </li></ul><h3>Requirements</h3><ul><li>"All Industry Levels": preferably 2+ years of industry experience working deep in the weeds on hard ML problems.<ul><li>Negative example: just stringing together a bunch of pre-existing components together. Need signal that this person can think critically about different parts of the pipeline</li></ul></li><li>Have a deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models.<ul><li>Collected a new giant dataset</li><li>Published research papers</li><li>Played a critical role in shipping a new ML product that required custom components</li><li>Writing distributed ML infrastructure</li><li>Have debugged and fixed hard-to-find bugs in ML models</li></ul></li><li>Have a track record of successfully owning projects from start to finish.</li><li>Have experience with generative models for various modalities.</li><li>Experience working with proven tools: ML frameworks (Tensorflow, PyTorch, Jax, …), data processing frameworks (Spark, Beam, …).</li><li>Experience working with diffusion models</li></ul><h3>About Character.AI</h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.Ready to shape 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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Joining us as a Research Engineer on the ML Systems team, you’ll be working on cutting-edge ML training and inference systems, optimizing the performance and efficiency of our GPU clusters, and developing new technologies that fine-tune leading consumer AI models with a data flywheel, and serve 20K+ QPS in production with LLMs. 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 <a href="#">Character.AI</a>, your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future.<h3>About the role</h3>The ML Systems team is responsible for the research and deployment of systems that efficiently utilize GPU for AI-enabled products.As a research engineer, you will work across teams and our technical stack to improve our training performance and inference runtime. You will get to shape the conversational experience of millions of users per day.Example projects:<ul><li>Write efficient Triton kernels and tune them for our specific models and hardware</li><li>Develop prefix-aware routing algorithms to improve serving cache hit rate</li><li>Train and distill LLMs to improve latency while preserving accuracy and engagements</li><li>Build an efficient and scalable distributed RLHF stack powering the model innovations</li><li>Develop systems for efficient multimodal (image gen/video gen) model training & inference</li></ul><h3>Job Requirements</h3><ul><li>"All Industry Levels": at least PhD (or equivalent) research experience</li><li>Write clear and clean production system code</li><li>Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)</li><li>Track record of exceptional research or creative ML systems projects</li><li>Comfortable writing model development code (PyTorch) for either training or inference</li></ul><h3>Nice to Have</h3><ul><li>Experience training large models in a distributed setting utilizing PyTorch distributed, DeepSpeed, Megatron.</li><li>Experience working with GPUs & collectives (training, serving, debugging) and writing kernels (Triton, CUDA, CUTLASS).</li><li>Experience with LLM inference systems and literature such as vLLM and FlashAttention.</li><li>Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)</li><li>Publications in relevant academic journals or conferences in the field of machine learning and systems</li></ul><h3>About Character.AI</h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.Ready to shape 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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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 <a href="#">Character.AI</a>, your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future. <h3>About the role</h3>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.Example projects:<ul><li>Develop alignment algorithms and loss functions to improve data sample efficiency.</li><li>Write data pipelines to process diverse web data into a format models can ingest.</li><li>Identify quality signals to understand our model’s performance in the real world.</li><li>Design sampling algorithms to improve serving efficiency of large generative models.</li></ul><h3>Job Requirements</h3><ul><li>At least PhD (or equivalent) research experience</li><li>Write clear and clean production-facing and training code</li><li>Experience working with GPUs (training, serving, debugging)</li><li>Experience with data pipelines and data infrastructure</li><li>Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)</li><li>Track record of exceptional research or creative applied ML projects</li></ul><h3>Nice to Have</h3><ul><li>Experience with product experimentation and A/B testing</li><li>Experience training large models in a distributed setting</li><li>Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)</li><li>Publications in relevant academic journals or conferences in the field of machine learning</li></ul><h3>About Character.AI</h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences.In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision.Ready to shape 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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<h3>About the role </h3>We’re looking for scrappy and self-motivated people who have full-stack machine learning skills: collecting data, training state-of-the-art models, building evaluations, writing efficient inference algorithms, and iterating on user feedback. In the day-to-day, you will be responsible for developing new multimodal capabilities end-to-end. This means you will need to wear a lot of hats across the full ML stack. You should be comfortable thinking about all parts of the problem, and ready to work on any and all components of it. <h3>Responsibilities </h3><ul><li>Determining the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data </li><li>Developing new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed </li><li>Creating new evaluations that capture different aspects of generative outputs </li><li>Writing fast inference algorithms to serve these models at scale </li><li>Working with product teams to integrate feedback mechanisms into the product, which we use to improve the model </li><li>Working with large scale image/audio datasets </li> </ul><h3>Requirements </h3><ul><li>"All Industry Levels": preferably 2+ years of industry experience working deep in the weeds on hard ML problems. <ul><li>Negative example: just stringing together a bunch of pre-existing components together. Need signal that this person can think critically about different parts of the pipeline </li> </ul> </li><li>Have a deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models, especially large language models. <ul><li>Collected a new giant dataset </li><li>Published research papers </li><li>Played a critical role in shipping a new ML product that required custom components </li><li>Writing distributed ML infrastructure </li><li>Have debugged and fixed hard-to-find bugs in ML models </li> </ul> </li><li>Have a track record of successfully owning projects from start to finish. </li><li>Have experience with generative models for various modalities. </li><li>Experience working with proven tools: ML frameworks (Tensorflow, PyTorch, Jax, …), data processing frameworks (Spark, Beam, …). </li><li>Experience working with diffusion models </li> </ul><h3>About Character.AI </h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences. In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision. Ready to shape 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. #J-18808-Ljbffr

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 <a >Character.AI </a>, your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future. <h3>About the role </h3>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. Example projects: <ul><li>Develop alignment algorithms and loss functions to improve data sample efficiency. </li><li>Write data pipelines to process diverse web data into a format models can ingest. </li><li>Identify quality signals to understand our model’s performance in the real world. </li><li>Design sampling algorithms to improve serving efficiency of large generative models. </li> </ul><h3>Job Requirements </h3><ul><li>At least PhD (or equivalent) research experience </li><li>Write clear and clean production-facing and training code </li><li>Experience working with GPUs (training, serving, debugging) </li><li>Experience with data pipelines and data infrastructure </li><li>Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc) </li><li>Track record of exceptional research or creative applied ML projects </li> </ul><h3>Nice to Have </h3><ul><li>Experience with product experimentation and A/B testing </li><li>Experience training large models in a distributed setting </li><li>Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud) </li><li>Publications in relevant academic journals or conferences in the field of machine learning </li> </ul><h3>About Character.AI </h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences. In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision. Ready to shape 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. #J-18808-Ljbffr

Joining us as a Research Engineer on the ML Systems team, you’ll be working on cutting-edge ML training and inference systems, optimizing the performance and efficiency of our GPU clusters, and developing new technologies that fine-tune leading consumer AI models with a data flywheel, and serve 20K+ QPS in production with LLMs. 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 <a >Character.AI </a>, your talent, creativity, and expertise will not just be valued—they will be the catalyst for change in an AI-driven future. <h3>About the role </h3>The ML Systems team is responsible for the research and deployment of systems that efficiently utilize GPU for AI-enabled products. As a research engineer, you will work across teams and our technical stack to improve our training performance and inference runtime. You will get to shape the conversational experience of millions of users per day. Example projects: <ul><li>Write efficient Triton kernels and tune them for our specific models and hardware </li><li>Develop prefix-aware routing algorithms to improve serving cache hit rate </li><li>Train and distill LLMs to improve latency while preserving accuracy and engagements </li><li>Build an efficient and scalable distributed RLHF stack powering the model innovations </li><li>Develop systems for efficient multimodal (image gen/video gen) model training & inference </li> </ul><h3>Job Requirements </h3><ul><li>"All Industry Levels": at least PhD (or equivalent) research experience </li><li>Write clear and clean production system code </li><li>Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc) </li><li>Track record of exceptional research or creative ML systems projects </li><li>Comfortable writing model development code (PyTorch) for either training or inference </li> </ul><h3>Nice to Have </h3><ul><li>Experience training large models in a distributed setting utilizing PyTorch distributed, DeepSpeed, Megatron. </li><li>Experience working with GPUs & collectives (training, serving, debugging) and writing kernels (Triton, CUDA, CUTLASS). </li><li>Experience with LLM inference systems and literature such as vLLM and FlashAttention. </li><li>Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud) </li><li>Publications in relevant academic journals or conferences in the field of machine learning and systems </li> </ul><h3>About Character.AI </h3>Founded in 2021, Character is a leading AI company offering personalized experiences through customizable AI 'Characters.' As one of the most widely used AI platforms worldwide, Character enables users to interact with AI tailored to their unique needs and preferences. In just two years, we achieved unicorn status and were named Google Play's AI App of the Year – a testament to our groundbreaking technology and vision. Ready to shape 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. #J-18808-Ljbffr

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