Uniphore

Uniphore is the global leader in Conversational Automation. Every day, billions of conversations take place across industries — customer service, sales, HR, education and more. Whether they are human to human, human to machine or machine to machine, conversations are at the heart of everything we do, and the new currency of the enterprise.

At Uniphore, we believe companies that best understand and act on those conversations will win. We have built the most comprehensive and powerful conversational automation platform that combines conversational AI, workflow automation, and RPA (Robotic Process Automation) with a business user-friendly-UX (User Experience) in a single integrated platform to transform and democratize customer experiences across industries.

We are currently searching for a Deep Learning NLP Engineer for our Sr. Staff AI Scientist role to report to our Chief Scientist.

This is a tremendous opportunity to work with the best and the brightest in the industry on our world class technologies.

The preferred hiring location is Palo Alto, CA or New York City, NY.

Role Attributes:

• Drives the creation, optimization and deployment of transformer/generative based NLP and multi-modalmodels for production at a large scale
• Work closely with other teams in R&D, Platform Engineering, and Product to establishrequirements and priorities 
• Has a circle of influence beyond the immediate team, reaching out to product and engineering
• Owns the development, training, testing, and improvement of large-scale models with particular attention on the increasing the quality and safety of the output while reducing hallucinations 
• Influences the team, and beyond, by establish best practices in machine learning methods
• Actively contributes to the architecture/design of data collection and processing pipelines

Requirements:

• Strong background and experience in ML NLP, especially transformer-based MLand Large Language Models 
• Working knowledge of one or more of the following NLP fields: Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning, Knowledge Graph and Causal Inference 
• Extensive knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O 
• Experience deploying NLP solutions in a commercial environment 
• Hands-on with latest Generative AI developments in the past year with exposure to finetuning, prompting strategies and optimization of models for inferencing 
• Experience in Big Data, search and chatbot technologies 
• Strong background and experience in software engineering, scaling large models, training and real time inference. 
• Comfortable with coding in different languages and cloud environments 
• Proven experience in working with other organizations, and in different geographies, besides R&D 
• Master or PhD in NLP orcomputer science 
• 8+ years of industrial R&D experience after graduation 

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

For more information on how Uniphore delivers business value using Conversational Automation, please visit www.uniphore.com

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