Director, Engineering Fellow NLP

Key responsibilities

• Determining the strategic direction and establishing objectives for the company’s Artificial Intelligence (AI) research and product development operations.
• Leading Customer Engagement and Research and developing policies to ensure all technical initiatives are aligned with business goals.
• Working with the executive team and partners to prioritize short and long-term investments.
• Having responsibility for overseeing all AI research and product development operations that incorporate Natural Language Processing (NLP), including the product lifecycle from conception to deployment and the allocation of personnel financial and material resources.
• Defining and directing the development and implementation of a technical roadmap and strategy for AI product development and lifecycle implementation by leveraging insights from customer engagements.
• Overseeing engineering research projects on the competitive landscape and industry trends to stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.). 
• Leading cross-functional teams and delegating the authority to subordinate managers to ensure that NLP features meet market needs and create a competitive edge. 
• Overseeing the analysis of product data to understand usage and find opportunities for improvement.
• Leading, developing and controlling AI product development and production schedules. This includes defining the major milestones for projects, identifying critical paths, tracking project progress and adjusting production plans to ensure technical projects are completed on time and within established budget.
• Representing the organization at conferences and other public speaking engagements.
• Providing direction, leadership and guidance essential to the professional development of the AI product development team under their responsibility. 
• Managing the recruitment and training of AI product development personnel.

Required Education and Experience

• Bachelor’s Degree in Computer Science, Machine Learning, or a related field.
• 3+ years of experience in a senior management role within the AI industry.
• 5+ years of Machine Learning research, software design and development experience.
• Advanced AI and Machine Learning experience with a wide range of AI techniques, including deep learning, reinforcement learning, and self-supervised learning. 
• Strong command of NLP techniques, including language representation models (e.g., BERT, GPT), dialogue systems, information retrieval, and information extraction. 
• Proficiency in industry-standard Large Language Models (LLMs) and architectures, and development of frameworks that include TensorFlow, PyTorch, or similar frameworks for building, training, and deploying language models.
• Experience with AWS and Google Cloud computing platforms.