Staff AI Scientist
India - Bangalore
Uniphore
Transform your customer and employee experiences with the industry's leading enterprise-class, AI-native platform.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 a Staff AI Scientist, you will positively impact customers by utilizing machine learning (ML) applications and will contribute to the organization's success by providing technical guidance, leadership, and expertise in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Deep Learning.
Responsibilities
Lead and contribute to building ASR and Speech LLM models and associated services
Lead and contribute to the building and modification (fine-tuning) of pre-trained enterprise-grade LLMs and multi-modal models
Conduct scientific evaluations of NLP/LLM models, innovate new techniques for model validation, evaluation, trust, and safety
Apply preference optimization techniques, including reinforcement learning from human feedback (RLHF), to train and fine-tune multi-modal models, ensuring trust and safety in their deployment
Engineer LLMs with the ability to seamlessly integrate with other tools and APIs
Specify guidelines and design annotation processes for training and evaluation data
Collaborate with the data team on data pre-processing, consumption, and automated/manual annotations
Collaborate with the product team to define and refine requirements for new features and applications of AI
Lead projects independently, providing mentorship and guidance to other team members
Work collaboratively in a fast-paced startup environment, cross-functionally with Engineering, Product, Marketing, and Customer Solutions teams
Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions; stay up to date with larger trends in the field
Published in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, KDD, ICASSP, InterSpeech, CVPR, AAAI etc.)
Qualifications & Skills
PhD plus 3 years of relevant experience or Master’s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience, or Bachelor’s degree in Computer Science, Engineering or related experience plus a minimum of 6 years of relevant experience
Minimum of 4 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR)
In-depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow
In-depth understanding of Transformers, hands-on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs
Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals
Expertise in Python programming
Hands-on experience in developing production-ready, scalable code
Ability to lead projects independently and mentor and guide other team members
Knowledge of deployment using environments such as: Docker, AWS, or Kubernetes
Location preference:
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture ASR AWS Computer Science Deep Learning Docker EMNLP Engineering Generative AI ICLR ICML Kubernetes LLMs Machine Learning NeurIPS NLP PhD Python PyTorch Reinforcement Learning Research RLHF TensorFlow Transformers
Perks/benefits: Startup environment
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