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Researcher, Models

cartesia · San Francisco

New
🇬🇧 English
state space models transformers RNN CNN diffusion models PyTorch TensorFlow profiling tools

Job description

About the role

Cartesia is building next‑generation AI model architectures that learn and interact with the world like humans. As a Researcher, Models you will join a team of PhDs and engineers pioneering state‑space models and efficient transformers.

Key responsibilities

  • Conduct groundbreaking research in neural network architecture design to advance state‑of‑the‑art alternatives such as state‑space models and efficient transformers.
  • Design novel architectures that improve model quality, inference efficiency, and adaptability across cloud and on‑device environments.
  • Explore and develop capabilities like statefulness, long‑range memory, and innovative conditioning mechanisms.
  • Investigate how architectural decisions impact scalability, robustness, latency, and energy efficiency.
  • Develop new frameworks and tools to benchmark architectural innovations in research and production settings.
  • Collaborate with cross‑functional teams to translate research into scalable, real‑world systems.

Required profile

  • Deep expertise in architecture design with experience in state‑space models, transformers, RNN and CNN variants.
  • Strong understanding of how architectures interact with system constraints, including cloud and on‑device deployment.
  • Proficiency in designing architectures that balance quality, efficiency, and adaptability across vision, audio, and text modalities.
  • Familiarity with generative modeling paradigms such as autoregressive and diffusion models, and designing stateful and conditioned deep learning models.
  • Proven research track record in top‑tier ML/AI venues or demonstrable state‑of‑the‑art contributions.
  • Exceptional analytical and problem‑solving skills with a focus on experimentation and iterative refinement.
  • Strong programming skills in deep learning frameworks (PyTorch or TensorFlow) and experience with profiling tools.

Required skills

  • Prior research or publications on state‑space models, efficient transformers, or alternative architectures.
  • Experience designing architectures for multi‑modal systems.
  • Background in early‑stage startup environments with rapid R&D innovation.

What we offer

  • Competitive base salary with an attractive equity package.
  • Fully covered medical, dental, and vision insurance for you and your family.
  • Generous parental leave (9 weeks paternity, 12 weeks maternity).
  • 401(k) retirement plan.
  • Monthly commuter allowance.
  • Flexible paid time off.
  • Daily meals and snacks provided.
  • Unique company culture and supportive environment.

Questions fréquentes

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Source : ats:ashby

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Published 2 hours ago

Expires 1 month from now

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cartesia

San Francisco