Researcher – Neural Network Model Architect
cartesia · London
Job description
About the role
We are opening our first European office in London and seeking a senior researcher to advance real‑time multimodal intelligence. The role focuses on designing novel neural network architectures that push the state‑of‑the‑art.
Key responsibilities
- Conduct groundbreaking research on alternative architectures such as state‑space models, efficient Transformers and hybrid designs.
- Design models that improve quality, inference efficiency and adaptability across cloud and on‑device deployments.
- Explore capabilities like statefulness, long‑range memory and innovative conditioning mechanisms.
- Develop evaluation frameworks and benchmark performance in research and production settings.
Required profile
- Proven research track record in top‑tier ML/AI venues (NeurIPS, ICML, ICLR, CVPR) or demonstrable state‑of‑the‑art contributions.
- Deep expertise in neural architecture design and understanding of system constraints for cloud and on‑device deployment.
- Strong analytical and problem‑solving skills with an experimental, iterative approach.
Required skills
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Proficiency using profiling tools to assess model performance.
- Knowledge of state‑space models, Transformers, RNN and CNN variants.
- Familiarity with generative modeling paradigms including autoregressive and diffusion models.
What we offer
- Competitive base salary with an attractive equity package.
- Fully covered health, dental and vision insurance for you and your family.
- Generous parental leave (9 weeks paternity, 12 weeks maternity).
- Monthly commuter allowance and flexible paid time off.
- Daily meals, snacks and a collaborative in‑office environment.
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Published 8 hours ago
Expires 1 month from now
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cartesia
London