Cartesia

Cartesia

Researcher, Models

*HQ - San Francisco, CA

Sponsorship not specifiedDetected 673 days ago
DatabricksCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchNLPA/B TestingSystems EngineeringResearchProblem SolvingAdaptability

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • 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.

Responsibilities

  • Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.
  • Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.
  • Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.
  • Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.
  • 🦖 Your own personal Yoshi

Requirements

  • Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
  • A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.
  • Research or practical experience in designing architectures for multi-modal systems.
  • Early-stage startup experience or a track record of rapid innovation in R&D environments.
  • Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
  • Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).
  • Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.
  • Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.
  • Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.
  • Prior research or publications in state space models, efficient Transformers or other alternative architectures.
  • Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
  • 🏢 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.

Compensation

  • 💰 Compensation Competitive base salary alongside attractive equity package.

Benefits

  • 💰 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 & 12 weeks maternity leave
  • 🚆 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.
  • 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.

Company info

  • ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do.

Equal opportunity

  • equal opportunity employer.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.