Cartesia07.10.2025
Researcher, Models (UK)
Зарплата не указана
Полная занятостьОфис
Обязанности
- 01Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art (SOTA) in alternative architectures
- 02Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments
- 03Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms
- 04Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency
- 05Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings
- 06Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications
Требования
- 01Deep expertise in architecture design, with experience in researching or deploying advanced architectures
- 02Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device
- 03Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities
- 04Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models
- 05A proven research track record in top-tier ML/AI venues or demonstrable contributions to state-of-the-art architectures
- 06Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement
- 07Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance
Условия
- 01In-office policy: We’re an in-person team based out of offices in San Francisco, London and Bangalore
- 02Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis