Senior ML Researcher, Applied Machine Learning

View full description

Requirements:

• Expertise in ML Model Training and Optimization: Proven experience in ML research, including novel training methodologies.
• Deep Knowledge of Language Model Fine-Tuning: Proficient in customizing language models like GPT or BERT.
• Proficiency in ML Frameworks: Strong understanding of frameworks like TensorFlow or PyTorch.
• Programming Skills: Proficiency in Python, focusing on efficient and maintainable code.
• Research Communication Skills: Ability to present technical concepts to various stakeholders.
• Educational Background: A Master’s or PhD in Computer Science or related field with a focus on ML research.
• Impactful ML Solution Delivery: Track record of ML solutions with significant real-world impact.

Responsibilities:

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models to solve real-world business problems.
• Architect Novel Training and Fine-Tuning Methodologies: Design and implement advanced training protocols and optimization strategies for Language Models.
• Evaluate Model Performance and Innovation: Develop techniques to enhance the effectiveness of ML models, focusing on accuracy and scalability.
• Feedback System Design for Continuous Learning: Create systems incorporating user feedback to iteratively improve model performance.
• Cross-Functional Collaboration: Work with product teams to translate business needs into actionable ML strategies.
• Stay Current on ML Advancements: Actively monitor the latest research and integrate best practices into development.
• Mentor and Guide Team Members: Provide guidance to junior researchers and foster a continuous learning environment.