Sr. Research Engineer

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.

Sr. 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 langauge processing and other potential ML tasks

• Work with latest large language models

• Work cloesly 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, speech recognition, natural language processing and/or deep learning

• Practical development knowledge using Python, Pytorch or Tensorflow.

• At least 5 years of professional experience in similar role. Excellent master graduates will also be considered

• Experience developing statistical based data mining commercial solutions is a major plus

• Excellent problem solving and critical thinking skills.

• Highly organized and self-motivated, and demonstrated leadership traits.

• Ability to work well alone and as part of a distributed multicultural team.

• Strong communication and writing skills.

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-Hybrid #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 in over 100 countries 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, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

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Genesys is an equal opportunity employer committed to equity 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.