AI Scientist

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

As an AI Scientist, you will positively impact our customers by utilizing machine learning (ML), deep learning and Generative AI applications and will contribute to the organization's success by providing technical guidance and expertise in artificial intelligence (AI), Automatic Speech Recognition (ASR), and Natural Language Processing (NLP).

Responsibilities  

• Collaborate across teams to develop innovative and cross-disciplinary solutions that infuse ultramodern large language model (LLM) technology within Uniphore products

• Leverage the most current tech stacks to develop comprehensive, scalable solutions

• Assemble and fine-tune pre-trained enterprise-grade ML/NLP algorithms

• Integrate ML/NLP with other tools, harnessing of diverse data types

• Align and fine tune ML/NLP/ASR to meet customer needs based on enterprise customer feedback on Uniphore products, enumerate guidelines and design annotation processes for data, working closely with our Data team on data preprocessing, consumption, and automated/manual annotations 

• Carry out scientific evaluation of NLP/LLM models; conceive new techniques for model validation, evaluation, trust, and safety

• Manage large datasets, address quality issues, and interpret data according to business goals; compare results of alternative approaches

• Navigate complex metrics and evaluate performance by establishing baseline results from simple or established approaches

• Steer several medium-sized research projects

• Write concise, readable, modular code that requires minimal revision when moved to production

• Write clear documentation of the work plan, its evolution, and results

• Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions 

Qualifications & Skills

• Ph.D. plus minimum of 2 years of relevant experience; or Master’s degree in Computer Science, Engineering, or related plus a minimum of 3 years of experience in successful delivery of AI services for critical projects

• Minimum of 2 years of industry experience in any of: ML/NLP, Computer Vision, Deep Learning, or ASR 

• Thorough knowledge of ML and data science concepts, Deep Learning, PyTorch/TensorFlow

• Hands-on experience in Transformers and Hugging Face ecosystem; hands-on knowledge of using LLMs for NLP

• Solid expertise in Python programming; hands-on experience in developing production-ready, scalable code 

• Knowledge of deployment using environments such as:  Dockeror Kubernetes

• Excellent communication, critical thinking and analytical skills

• Publications n peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, InterSpeech, ICASSP, EMNLP, KDD, CVPR, AAAI etc.)

 

Hiring Range:

$154,400 - $212,300 - 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.