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Researcher, Models (UK)

Cartesia· Research
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LondonFull-timePosted 11mo ago

About the role

Researcher focusing on neural network architecture design to advance state-of-the-art multimodal models, based in London with on-site employment.

Responsibilities

  • Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures (e.g., state space models, efficient Transformers, hybrid architectures).
  • 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.
  • Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.
  • 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.

Qualifications

  • Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
  • Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
  • 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.
  • 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.
  • 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.

Skills

Required:Neural network architecture designDeployment awarenessMultimodal modelingGenerative modelingResearch publicationsPyTorch or TensorFlow

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
  • 401(k)
  • Commuter Allowance: A monthly stipend to help you get to and from the office.
  • Flexible PTO
  • Meals & Snacks: Lunch, dinner and plenty of snacks, provided daily.
  • Your own personal Yoshi
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Cartesia

Real-time TTS API with AI laughter and emotion

Cartesia offers Sonic-3, a streaming text-to-speech API capable of generating natural, expressive voices with laughter in 40+ languages—built for AI agents and interactive applications.

AI voicesinteractive appsliquid-ai-recruiting-targetmultilingualstreaming APItext-to-speechvoice-ai-stack
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