Research Scientist – Diffusion Models
RemoteUnited States
United StatesRemoteFull TimeDoctorate Or Professional DegreeSmall
Full TimeDoctorate Or Professional DegreeSmall
Job Summary
Develop novel diffusion models and generative learning algorithms for Large Tabular Models. Research new representation learning techniques and design efficient training methods for large-scale generative systems. Prototype and evaluate new modeling approaches while designing rigorous experiments to benchmark model quality and efficiency. Collaborate closely with Prof. Andrea Montanari and the research team to translate discoveries into production systems. Requires a PhD in Machine Learning or related field with strong publications at top venues.
Required Qualifications
- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
- Strong research record in generative machine learning
- Experience developing new generative models or learning algorithms
- Hands-on experience with PyTorch or JAX
- Strong programming skills in Python
- Ability to turn research ideas into working systems
- Experience with diffusion models, score-based generative modeling, representation learning, probabilistic modeling, or scalable ML systems
Desired Qualifications
- Research applying diffusion models beyond traditional vision tasks
- Publications at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related venues
- Open-source or production ML systems experience
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