Cartesia is hiring a Researcher: Model Architecture, UK

Cartesia is looking for a Researcher: Model Architecture to lead foundational research in neural network design. You will join an in-person team to advance the state-of-the-art in alternative architectures, creating systems for diverse deployment environments.

What You'll Do

• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art.
• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments.
• Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms.
• 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.

What We're Looking For

• Deep expertise in architecture design, with experience in researching or deploying advanced architectures.
• 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.
• Familiarity with generative modeling paradigms and designing capabilities such as statefulness and conditioning in deep learning models.
• A proven research track record in top-tier ML/AI venues 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.

Nice to Have

• 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.

Technical Stack

• PyTorch
• TensorFlow

Team & Environment

You will collaborate with cross-functional teams in a culture where we ship fast and support each other.

Benefits & Compensation

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

Work Mode

This is an onsite position located in London, UK. We are an in-person team.

Cartesia is an equal opportunity employer.