G-P is hiring a
Principal Applied Research Scientist, Remote - United States

Summary

The job is for an AI Researcher and Developer at G-P, a company that enables global business opportunities. The role involves driving research initiatives, collaborating with cross-functional teams, and developing innovative algorithms in NLP and GenAI. The position offers a competitive compensation package and the promise of Opportunity Made Possible.

Requirements

• PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
• Proven track record of research in NLP and GenAI, evidenced by publications, patents, or software releases
• Strong programming skills in Python, and familiarity with AI frameworks like TensorFlow or PyTorch
• Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning
• Extensive practical experience with curating datasets, training models, running experiments, analyzing post-deployment data, and developing robust metrics to ensure model reliability
• Excellent problem-solving skills and creativity
• Strong communication skills, both verbal and written, with the ability to present complex technical details to a non-technical audience

Responsibilities

• Drive applied research initiatives and develop innovative algorithms in the areas of NLP and GenAI with tangible business applications and results
• Collaborate with cross-functional teams to integrate AI technologies into our products and services
• Secure patents and publish research findings in top-tier journals and at leading international conferences
• Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics
• Develop prototypes and proof-of-concepts for potential deployment in operational environments
• Mentor junior researchers and contribute to the team’s knowledge sharing effort

Preferred Qualifications

• Postdoctoral or industry experience in AI research
• Contributions to open-source projects
• Experience in developing scalable AI solutions in a cloud computing environment
• Experience with LLMs for non conversational use cases
• Experience with natural language processing for legal applications

Benefits

• Competitive compensation and benefits package
• Annual bonus dependent on individual and company performance in addition to base salary