Staff AI Scientist

USA - CA - Palo Alto, United States

Uniphore

Transform your customer and employee experiences with the industry's leading enterprise-class, AI-native platform.

View all jobs at Uniphore

Apply now Apply later

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.   

Job Description:
 

About the role

Staff AI Scientist

Uniphore is a leading B2B AI-native company with decades of proven success. Engineered for scalability and tailored for enterprise needs, we drive AI transformation that delivers real business impact across multiple industries and the largest global deployments.  

  

Our Zero Data AI Cloud is built on a multimodal AI and data platform and is at the heart of this transformation, enabling businesses to swiftly deploy AI across the enterprise.  

At Uniphore we are building the modern GenAI stack for the enterprise. That includes all required layers and capabilities: data; knowledge; agents model training, deployment and operationalization; and applications that act both as conduits for GenAI actions as well as sources of training data for our models.  

  

Unlike mega-Tech vendors who have to deal with decades of legacy code, or young startups that have no Enterprise customer base, we believe we are positioned to capitalize the GenAI moment better better than any other software vendor.  

  

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.  

  

Today, Uniphore’s technology empowers over 750,000 end-users across 1,600 enterprises in 20 countries. Discover the unmatched capabilities of Uniphore—because there’s no AI like it™.  

 

We are currently searching for a bright Staff AI Scientist role to report to our Director of AI Science. This is a tremendous opportunity to work with the best and the brightest in the industry on our world class technologies. 

 

The ideal candidate will work on: 

Develop next-generation Agentic AI and Retrieval-Augmented Generation (RAG) applications to help large enterprises achieve 10x productivity gains.  

  • Focus on fine-tuning and human alignment of AI agents and RAG systems. 

  • Building agentic platform with context and memory management, evaluation framework, trust and safety.  

  • Actively contribute to AI research and development by applying, evaluating, and enhancing open-source algorithms while developing proprietary solutions to advance multi-modal model ecosystems. 

  • Define guidelines and design annotation processes for data. Work closely with the Data team on preprocessing, consumption, and both automated and manual annotations. 

  • Collaborate with cross-functional teams of engineers, product managers and solutions engineering to identify and prioritize requirements, align design and development of products. 

  • Manage the end-to-end project development, from research to production deployment. 

 

Qualifications: 

  • Minimum of a Master's degree including Computer Science, Electrical/Computer Engineering or related fields.  

  • 8+ years of industry experience in AI, NLP, Vision and ASR for Masters 

  • 5+ years industry experience for Ph.D candidates.  

  • Solid expertise in Python programming, in-depth knowledge of deep learning and expertise in PyTorch/TensorFlow, hugging face libraries.  

  • Hands-on experience in developing production-ready, scalable code. 

  • Strong publication record in leading conferences, including ICLR, NeurIPS, ICML, ACL, EMNLP, and AAAI. 

  • Prior Experience in pre-training (good to have), fine-tuning and reinforcement learning. 

 

Benefits 

Uniphore offers a competitive offer and premium benefits, including insurance, pre-IPO options, leave and other perks. 

 


 


Hiring Range:

$169,800 - $233,500 - for Primary Location of USA - CA - Palo Alto

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 incentive opportunity 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.


Location preference:

USA - CA - Palo Alto

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 uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.

Apply now Apply later
Job stats:  0  0  0

Tags: Architecture ASR Computer Science Deep Learning EMNLP Engineering Generative AI ICLR ICML Model training NeurIPS NLP Open Source Python PyTorch RAG Reinforcement Learning Research TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Conferences Equity / stock options Flex vacation Health care Insurance Medical leave Startup environment

Region: North America
Country: United States

More jobs like this