Role

We build artificial intelligence systems from end to end, basic precise services, and infrastructure by taking advantage of advanced technologies to influence millions with user experiences allocated every day.

We are looking for a distinguished automatic learning engineer to join our team! The role will provide an opportunity to work on broad -scale learning to improve the experience of creating podcasts in Zencastr.

You will join a team of diligent engineers who are eager to understand what drives the long -term happiness with Zencaster, and how our recommendations and usurpers affect this. As an integral part of the team, you will cooperate with research scientists, data scientists and other engineers in the initial models and the production of ML completely new at the intersection of speech processing and long -term user satisfaction.

What will you do ..

• Designing and developing automated learning applications on the latest style and algorithms to improve the lives of podcast listeners and listeners around the world

• Cooperation with engineering partners and colleagues in great multi -functional efforts to build new product features that recommend and enrich various ML services.

• Pay the possibilities of voice and text forward inside the ML team

• Work with some of the brightest minds in signaling signals

If this describes you ..

• Graduate degree in machine learning, mathematics, computer science, or a relevant quantitative field

• 5 + years experience in Bethon

• 3+ years experience in automated learning research, focusing on speech

• 3+ years experience in training or spreading nerve networks

• Important experience with machine learning libraries such as Pytorch, Tensorflow and Scikit-Learn

• Experience in building and operating ML systems ready for production

• The ability to lead design and implement components, systems and features of the main software

• You enjoy building the initial models quickly

• Experience with cloud techniques, AWS, Modal

• You are a subjective start that leads your own projects and adopts positive relationships with partners and colleagues to solve great multi -functional efforts from start to finish. You are able to succeed with the minimum guidance and process.

Reward points if you have:

• Posts in magazines, which are reviewed by the peerless fields

• Experience with modern speech processing frameworks

• Good Ops experience

• Advanced DSP experience

• Mongodb or SQL experience

• Experience with unit, integration and download test

• Experience of building applications for application programming

• Experience with Docker containers, implement Docker

• Experience with container synchronization technology such as Kubernetes is a great plus