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Fortune 500 clients and government agencies trust eGain AI knowledge solution to improve customer experience and reduce cost of service. Top rated by Gartner, eGain AI Knowledge Hub orchestrates AI and experts to deliver trusted answers to customers, agents, and field staff.
We dream big and sweat details. We are diverse, optimistic, and tenacious. We take pride in what we do but we don't take ourselves too seriously. If work is fun for you, talk to us. We will not waste your time.
Responsibilities - Develop and optimize XLM/ML-based algorithms for product-driven applications.
- Build data pipelines and training frameworks to support experimentation and deployment.
- Collaborate with cross-functional teams to integrate research outcomes into production systems.
- Analyze performance metrics and iterate on model/systemimprovements for real-world impact.
Education - Ph.D. in Computer Science, Data Science, or a related field from a top-tier US university
Our Hiring Process is "Easy with eGain"Step 1Written test
- Aptitude section - this is a GRE style test (60 minutes or less)
- Functional section - this is a take-home test
Step 2Panel interview (in-person at eGain Sunnyvale office)
Next stepEmail your resumé to [email protected] with the position title "Research Engineer" in the email subject.
Compensation - Base salary is $140,000 per year.
- Stock options.
Please note that the compensation package can vary based on the candidate's qualifications and experience level.
