Sr. AI Engineer

Role Overview

As a SR AI Engineer, you will positively impact our customers and end users by utilizing machine learning (ML) and Generative AI techniques. 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.

What You Will Do

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.

Why It Might Be a Fit

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.

Requirements

• 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 7 years of relevant experience
• Minimum of 5 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
• Good communication skills

Benefits

• competitive offer
• premium benefits
• insurance
• pre-IPO options
• leave
• 401(k) with a match
• medical, dental, vision
• generous paid time off
• paid holidays
• paid day off for your birthday
• other paid leave policies