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Uniphore Logo

AI Scientist (Product Engineering)

Uniphore

$127,600 - $175,450
May 9, 2025
Palo Alto, CA, US
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The company is looking to develop innovative AI solutions for improving product quality and performance dimensions, and needs an AI Scientist to contribute to research and development of next generation Enterprise AI products.

Requirements

  • High level programming skills (Python)
  • Good understanding of ML frameworks and tools such as PyTorch lightning, Kubeflow, TensorFlow and Transformers
  • Skilled with algorithms, data structures, and object-oriented programming
  • Experience with cloud tech stack (AWS or GCP) and ability to develop ML models in a cloud environment
  • Knowledge of deployment using environments such as: Docker, and Kubernetes
  • Experience in Python programming and developing production-ready, scalable code
  • Ability to use SQL, and S3 datastores

Responsibilities

  • Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models for enterprise applications
  • Perform thorough empirical analysis of the approach and write production ready code
  • Develop, modify and fine-tune ML/NLP and pre-trained enterprise-grade large language models (LLMs) and multi-modal models
  • Ensure the developed models seamlessly integrate with other tools and company products
  • Specify guidelines and design annotation processes for data
  • Evaluate product and algorithm performance using industry standard approaches
  • Manage large datasets, address and resolve quality issues, and interpret data with a focus on business goals

Other

  • Master’s degree in Computer Science, Engineering, or related, or a minimum of 2 years hands-on experience post undergraduate degree (BE, BS, or equivalent)
  • Minimum of 1 year industry experience in Artificial Intelligence (AI), Natural Language Processing (NLP), LLMs, deep learning, Computer Vision, or Automatic Speech Recognition (ASR)
  • Good oral and written communication abilities, including ability to present one's own work to others
  • Location preference: USA - CA - Palo Alto