Sr. Staff AI Scientist

Key Skills

Deep Learning, H2O, Keras software library, Machine learning techniques, MxNet, Natural Language Processing (NLP), TensorFlow

Job Description

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. 

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. 

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

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

$151,200 - $220,000 a year

The anticipated base salary hiring range for this position is: 

California or New York: $181,400 - $220,000

All other US hub locations: $151,200 - $207,907

The specific rate will depend on the successful candidate's qualifications and prior experience.

In addition to competitive base pay, this position also includes an annual bonus based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.

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.