Principal Machine Learning Engineer, Pinecone

• Bachelor's or advanced degree in Computer Science,
• 6+ years in designing, developing, and deploying machine learning models and NLP solutions in production environments
• Expertise in training, tuning and adapting language models (LLMs) such as GPT, BERT, or similar architectures
• Strong proficiency in natural language processing (NLP) techniques and methodologies, including text classification, sentiment analysis, entity recognition, etc
• Proficiency in programming languages and tools commonly used in machine learning and NLP such as Python, TensorFlow, PyTorch, etc
• Solid understanding of machine learning fundamentals, algorithms, and data structures
• Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

Desirable

• Lead the design, development, and implementation of cutting-edge machine learning models and NLP techniques to address real-world challenges
• Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to define requirements, prioritize tasks, and drive project execution
• Conduct research and experimentation to explore new methodologies, algorithms, and techniques in the fields of LLMs and NLP
• Optimize and fine-tune machine learning models for performance, scalability, and efficiency in production environments
• Stay updated with the latest advancements in machine learning, NLP, and related fields, and apply relevant techniques to enhance existing solutions
• Mentor and provide guidance to junior team members, fostering a culture of continuous learning and professional development