Senior ML Researcher, Applied Machine Learning

View full description

Requirements:

• Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies.
• Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models like GPT, BERT.
• Proficiency in ML Frameworks: Strong understanding of machine learning frameworks like TensorFlow, PyTorch.
• Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable code.
• Research Communication Skills: Ability to present complex technical concepts to various stakeholders.
• Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field.
• Impactful ML Solution Delivery: Proven track record of delivering impactful ML solutions.

Responsibilities:

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
• Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
• Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models.
• Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance.
• Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
• Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP.
• Mentor and Guide Team Members: Provide technical guidance to junior researchers.