Gantry is hiring a
AI Researcher in Worldwide

Summary

The job is for an Applied AI Researcher at Gantry Systems, Inc., where the employee will work on improving large language models (LLMs) for product testing and analytics. The role requires a strong background in machine learning, deep learning, and Python, as well as experience in training or fine-tuning language models like GPT and BERT.

Requirements

• Proven experience in applying models in real-world applications and collaborating with product engineering teams
• Strong knowledge of Python and experience with machine learning/deep learning frameworks like PyTorch
• Extensive experience in training or fine-tuning language models such as GPT, BERT, etc
• Demonstrated experience in delivering ML/AI projects from conceptualization to deployment
• Experience or interest in prompt engineering and model chaining
• Strong problem-solving skills, creative thinking, and the ability to thrive in a fast-paced, innovative, and collaborative environment
• Excellent communication and teamwork skills, and the ability to explain complex AI/ML concepts to non-experts
• Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field

Responsibilities

• Conduct innovative research and implement algorithms in the field of machine learning and LLMs
• Develop and train large scale machine learning and deep learning models
• Design and implement practical solutions for complex AI/ML problems
• Develop metrics and prototypes that can be used to drive business decisions
• Work closely with our engineering team to integrate successful models and algorithms into our products
• Stay up-to-date with the latest research and technologies in AI and machine learning, and be ready to implement them

Preferred Qualifications

Record of publications in top-tier AI/ML conferences or journals is a plus

Benefits

• Gantry Systems, Inc. is an equal opportunity employer. We celebrate diversity, are committed to creating an inclusive environment for all employees, and intend to consider qualified applicants with criminal histories
• Most of the team is based in San Francisco, but we are building a remote-friendly company and welcome applicants from anywhere in the US or Canada