Description
The Quantum Technology Center is developing a quantum computer and photonic coprocessors to solve Sber's tasks - from AI to optimizing logistics processes.
Responsibilities
- evaluating the accuracy and performance of different architecture models on analog accelerators
- adapting network architectures to the specifics of analog accelerators
- testing new approaches to developing ML algorithms
- participating in the co-design of optical analog accelerators and machine learning algorithms
- creating a platform for benchmarking analog accelerator and neural network architectures.
Requirements
- proficient in writing Python code
- familiar with main ML development frameworks - PyTorch, Tensorflow, Jax
- have experience in analyzing and comparing experiment results
- understand the structure of main neural network architectures and have a strong mathematical background.
Conditions
- opportunity to choose a convenient schedule – office or hybrid (location: Tulskaya metro station)
- annual salary review and annual bonus
- corporate gym and relaxation areas
- access to over 400 educational programs from SberUniversity for professional and career development
- extended private health insurance, preferential insurance for family, and corporate pension program
- flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
- free SberPrime+ subscription, discounts on products from partner companies.
