Research Engineer
Research Engineer
We are looking for a Research Engineer to join our Tel Aviv team where we are breaking new ground in the applied research of understanding human-to-human conversations.
The work is both analytical and experimental in nature. It includes development and prototyping of new algorithms and evaluating their performance on extensive and large data sets.
The Genesys Israeli R&D center embraces a startup mindset in a big corporation, enabling a work environment rich in office culture, visibility and personal ownership. The advantages of a small group within a well-established company, promotes critical questioning, innovation and continuous progress.
Key Responsibilities
- Research, design, and develop algorithms for speech recognition and natural language processing enterprise software applications
- Train ML models for speech recognition, natural language processing and other potential ML tasks
- Work with latest large language models
- Work closely with development teams to bring ML services to production
Minimum Requirements
- Master's degree in Computer Science, computer engineering, or equivalent
- In-depth knowledge of machine learning and deep learning.
- Knowledge in speech recognition and/or natural language processing.
- Practical development knowledge of Bash and Python.
- At least 5 years of professional experience in similar role.
- Experience developing statistical based data mining commercial solutions is a major plus
- Excellent problem solving and critical thinking skills.
- Highly organized and self-motivated.
- Ability to work well alone and as part of a distributed multicultural team.
- Strong communication and writing skills.
The ideal candidate would also have experience with
- 5 years of professional experience developing commercial software product
- Amazon Web Services (S3, EC2, Sage Maker, etc.)
We are looking for excellent people who are team players with excellent verbal and written communication skills in English. The work is challenging, creative and fast paced.
