AI Scientist

Uniphore • Palo Alto, CA

22h

About The Position

As an AI Scientist, you will positively impact our customers and end users by utilizing machine learning (ML) and Generative AI techniques. You will contribute to research on a project in a supportive and collaborative environment that develops innovative solutions for improving the product on different quality and performance dimensions. The ideal candidate will have strong foundations in computer science, algorithms, ML/NLP, superb communication skills, relevant industry experience and a proven track record of delivery under tight deadlines. Create next generation Enterprise AI products working alongside a diverse team of scientists, engineers and product managers.

Requirements

• 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)
• Understands metrics, ML applications, and data science (DS) concepts; curious and inquisitive to explore variations and innovations
• High level programming skills (Python) and 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; able to use SQL, and S3 datastores
• Good oral and written communication abilities, including ability to present one's own work to others

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 and are aligned with the feedback that will be generated from enterprise customers
• Specify guidelines and design annotation processes for data; collaborate with data team on data preprocessing, consumption, and automated/manual annotations
• Evaluate product and algorithm performance using industry standard approaches and develop new evaluation paradigms; build up competencies comparing results of more complex approaches
• Collaborate with other teams, provide input, and contribute to the delivery of AI services for critical projects
• Write concise, readable, and modular code, continually improving the code, requiring minimal revision when moved to production
• Manage large datasets, address and resolve quality issues, and interpret data with a focus on business goals
• Develop clear documentation of the work plan, its evolution, and results
• Regularly read and assess publications on existing methods, and compare internal solutions to alternative method

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees