Cartesia12.12.2024
Researcher, Models
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Полная занятостьОфис
Обязанности
- 01Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures)
- 02Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device
- 03Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization
- 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 (e.g., state space models, transformers, RNN variants, CNN variants)
- 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 (e.g., vision, audio, text)
- 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 (e.g., NeurIPS, ICML, ICLR, CVPR) 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-person team based out of offices in San Francisco, London and Bangalore
- 02Visa sponsorship support assessed on case-by-case basis
- 03Competitive base salary alongside attractive equity package
- 04Fully covered medical insurance along with dental and vision for you and your family
- 059 weeks paternity & 12 weeks maternity leave
- 06401(k)
- 07Monthly commuter allowance
- 08Flexible PTO
- 09Lunch, dinner and snacks provided daily