Cartesia

<h2>About Cartesia</h2>Our mission is to architect AI that learns from and interacts with the world like humans do.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.<h2>About the Role</h2>Data is the lifeblood of our models, and we are looking for a Research Engineer, Data Infrastructure to build the datasets and systems that power pretraining at Cartesia. In this role, you will write performant, scalable infrastructure to acquire, process, and curate massive datasets, and partner closely with research to optimize the characteristics and composition of data mixtures. Your work will directly shape the capabilities and quality of our foundational models.<h2>Your Impact</h2><ul><li>Build and operate performant, scalable data processing infrastructure for acquiring, ingesting, and combining massive text datasets.</li><li>Design and operate scalable, high-throughput, and reproducible data pipelines — covering ingestion, preprocessing, filtering, deduplication, and augmentation.</li><li>Design and run ablation experiments to understand how data sources, processing choices, and mixture weights affect model quality.</li><li>Partner closely with research and infrastructure teams to co-design data loading, versioning, and experimentation pipelines.</li><li>Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.</li><li>Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.</li></ul><h2>What You Bring</h2><ul><li>Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.</li><li>Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.</li><li>Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they're trained and inference.</li></ul><h2>Nice-To-Haves</h2><ul><li>Experience with large-scale data processing using parallel infrastructure such as Ray, Spark, or Kubernetes.</li><li>Experience with pretraining language models.</li></ul>Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.<h2>More Details</h2>🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open &amp; inclusive culture that’s focused on giving everyone the resources they need to succeed.<h2>Our Benefits (US Employees Only) </h2>💰 Compensation Competitive base salary alongside attractive equity package.🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity &amp; 12 weeks maternity leave 🏦 401(k)🚆 Commuter Allowance A monthly stipend to help you get to and from the office.🏖️ Flexible PTO Take as much time as you need to recharge your batteries.🍲 Meals &amp; Snacks Lunch, dinner and plenty of snacks, provided daily.🦖 Your own personal Yoshi<h2>Our Commitment to Equal Opportunity</h2>Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Research Engineer, Data Infrastructure (Language Modeling)

<h2>About Cartesia</h2>Our mission is to architect AI that learns from and interacts with the world like humans do.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.<h2>About the Role</h2>Data is the lifeblood of our models, and we are looking for a Software Engineer, Data Infrastructure to own the strategy and execution for all data at Cartesia. In this highly impactful role, you will build and evolve the datasets that power our cutting-edge research. You will design scalable systems to acquire, process, and curate massive multimodal datasets while partnering closely with research and inference teams. Your work will directly shape the capabilities and quality of our foundational models.<h2>Your Impact</h2><ul><li>Define Cartesia's multi-modal data strategy across pre-training and post-training, spanning human, synthetic, and web-scale sources, with particular depth in audio.</li><li>Design and operate scalable, high-throughput data pipelines for text, audio, and video — covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.</li><li>Partner closely with research and inference teams so data systems are co-designed with training and serving infrastructure (batching, GPU-aware loading, evaluation pipelines).</li><li>Establish and enforce rigorous standards for data quality, with a tight feedback loop between dataset characteristics and model behavior.</li><li>Identify and source novel datasets; manage relationships and budgets with external data vendors and partners.</li></ul><h2>What You Bring</h2><ul><li>Hands-on experience with ML data infrastructure: training data pipelines, dataset versioning, large-scale data loading, and the interplay between data systems and model training and inference.</li><li>Working knowledge of multimodal data, i.e. audio: formats, preprocessing, augmentation, and large-scale storage and streaming patterns.</li><li>Strong modern engineering execution: clean, well-tested code, fluency with current tools, and a willingness to pick the right tool for the problem rather than defaulting to familiar patterns.</li><li>Experience leading cross-functional technical efforts in a fast-moving, research-driven environment.</li><li>Familiarity with building and evaluating datasets for generative models and reasonable working knowledge of how they’re trained and inference.</li></ul>Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.<h2>More Details</h2>🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open &amp; inclusive culture that’s focused on giving everyone the resources they need to succeed.<h2>Our Benefits (US Employees Only) </h2>💰 Compensation Competitive base salary alongside attractive equity package.🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity &amp; 12 weeks maternity leave 🏦 401(k)🚆 Commuter Allowance A monthly stipend to help you get to and from the office.🏖️ Flexible PTO Take as much time as you need to recharge your batteries.🍲 Meals &amp; Snacks Lunch, dinner and plenty of snacks, provided daily.🦖 Your own personal Yoshi<h2>Our Commitment to Equal Opportunity</h2>Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Software Engineer, Data Infrastructure

<h2>About Cartesia</h2>Our mission is to architect AI that learns from and interacts with the world like humans do.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.<h2>About the Role</h2>We're hiring an Inference Engineer to advance our mission of building real-time multimodal intelligence. <h2>Your Impact</h2><ul><li>Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge foundation models using Transformers, SSMs and hybrid models.</li><li>Work closely with our research team and product engineers to serve our suite of products in a fast, cost-effective, and reliable manner. </li><li>Design and build robust inference infrastructure and monitoring for our products. </li><li>Have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications.</li></ul><h2>What You Bring</h2>Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia.<ul><li>Strong engineering skills, comfortable navigating complex codebases and an eye for writing clean and maintainable code. </li><li>Experience building large-scale distributed systems with high demands on performance, reliability, and observability.</li><li>Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. </li><li>Background in or experience working on inference pipelines with machine learning and generative models.</li><li>Experience implementing state of the art Machine Learning models and research to applied problems.</li><li>Preferable: experience with vLLM, SGLang, Continuous Batching or other inference frameworks.</li><li>Preferable: experience working in CUDA, Triton or similar</li></ul>Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.<h2>More Details</h2>🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open &amp; inclusive culture that’s focused on giving everyone the resources they need to succeed.<h2>Our Benefits (US Employees Only) </h2>💰 Compensation Competitive base salary alongside attractive equity package.🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity &amp; 12 weeks maternity leave 🏦 401(k)🚆 Commuter Allowance A monthly stipend to help you get to and from the office.🏖️ Flexible PTO Take as much time as you need to recharge your batteries.🍲 Meals &amp; Snacks Lunch, dinner and plenty of snacks, provided daily.🦖 Your own personal Yoshi<h2>Our Commitment to Equal Opportunity</h2>Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Cartesia

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Research Engineer, Data Infrastructure (Language Modeling)

Software Engineer, Data Infrastructure

Inference Engineer

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