Researcher, Model Architecture (UK) in London

Join to apply for the Researcher: Model Architecture role at Cartesia. Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. We are pioneering the model architectures that will make this possible.

We are opening our first ever office in Europe, and looking to hire incredible talent in London to advance our mission of building real-time multimodal intelligence.

• 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.

• 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.

• Prior research or publications in state space models, efficient Transformers or other alternative 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.

• We’re an in-person team based out of San Francisco, Bangalore & London. We love being in the office, hanging out together and learning from each other every day.
• 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 and design along the way.
• We support each other. We have an open and inclusive culture that’s focused on giving everyone the resources they need to succeed.

• Lunch, dinner and snacks at the office.
• Fully covered medical, dental, and vision insurance for employees.
• Pension Plan.
• Relocation and immigration support.
• Your own personal Yoshi.