Research Engineer

locations
Tel Aviv, Israel
time type
Full time
posted on
Posted Yesterday
job requisition id
JR109142

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

For this role we are offering the option of hybrid working, with a minimum of one day per week in the office and the other days flexible.

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.

#LI-MC1

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.