Sr. Research Engineer

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time.  

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.

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.

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About Genesys:

Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service™ our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. 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.