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Research Scientist - Machine Learning
- Waltham, Massachusetts, United States
- Waltham, Massachusetts, United States
Über
Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models Scale up experimentation infrastructure and optimize over the design space of models Implement, visualize, and evaluate new architectures, training algorithms, and benchmarks Publish papers, contribute to open source, and communicate design insights to our hardware team Create production models for domain experts using customer data Required Qualifications
Experience in scientific Python and at least one deep learning framework (PyTorch, JAX, TensorFlow, Keras) Extremely strong foundations in probability and linear algebra Familiarity with deep learning theory and literature, including theory of over-parameterization and scaling laws Publications in top ML conferences (NeurIPS, ICML, ICLR, CVPR) Experience training high-performance models, including familiarity with infrastructure (Slurm, Ray, Weights & Biases) Experience deploying models, including familiarity with infrastructure (Ray, AWS, ONNX) Preferred Qualifications
Experience designing probabilistic graphical models (PGM) Experience training energy-based models (EBMs) or diffusion models Experience with numerical methods in diffeq solvers Experience with message passing or training graph neural networks (GNNs) Strong theoretical background in information geometry Strong theoretical background in random matrix theory Strong grasp of computational Bayesian methods, including MCMC sampling methods and variational inference
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Sprachkenntnisse
- English
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