Staff AI Scientist

Key Skills

Aartificial intelligence, Amazon Simple Storage Service (S3), AWS, Docker, HuggingFace, Large Language Models - LLMs, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Postgres, PyTorch, TensorFlow

Job Description

We are currently searching for a bright Deep Learning NLP Engineer for our 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

• Building and modifying (fine-tuning) pre-trained enterprise-grade large language models and multi-modal models
• Able to do a scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety.
• Able to train/fine tune multi-modal models using RLHF and other reinforcement learning techniques to ensure trust and safety
• Equipping large language models with the ability to integrate with other tools
• Specifying guidelines and designing annotation processes for data, work closely with Data team on data preprocessing, consumption and automated/maunal annotations

Skills

• Minimum of a Master’s degree including Computer Science, Engineering or related fields.
• 8+ years of industry experience in AI, NLP, Vision and ASR
• In-depth knowledge of deep learning and expertise in PyTorch/TensorFlow.
• Familiar with Transformers and have used Huggingface library and LLMs to solve NLP problems.
• Worked with large amounts of data and developed approaches to address quality issues, and ability to interpret data with a focus on business goals.
• Solid expertise in Python programming.
• Hands-on experience in developing production-ready, scalable code.
• Ability to lead projects independently, mentor and guide junior team members.
• Be able to work in a fast paced, startup environment cross functionally with engineering, product, marketing and customer solutions team.

Relevant Technologies

• ML: Hugging Face, PyTorch, MLOps tools.
• Deployment: Docker, AWS, Terraform, Garden
• Datastores: Postgres, S3.

Benefits

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

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.