Senior Applied Scientist

As a Senior Applied Scientist, you'll work at the intersection between research and product. You'll build, optimize and deploy machine learning models as well as scale them up.

Responsibilities

Build and improve modern machine learning models to solve complex ML problems.; Read papers, propose model improvements, implement and test the new models.; Think about the best human-computer interfaces to make machine learning models accessible to everyone.; Run regular benchmarks and perform statistical analysis, draw conclusions on the impact of your research-based optimizations and present your findings to the team.

Requirements

Knowledge of Python and modern ML libraries like PyTorch, Tensorflow, or JAX.; Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc.; Strong quantitative intuition and mastery of linear algebra, probability and statistics.; Solid knowledge of basic data structures (list, vector, stack, heap), basic algorithms (sort, search, etc.) and associated time/memory asym