Senior Data Scientist

Description

Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an enthusiastic and technology-proficient Senior Data Scientist, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.  

Responsibilities :  

• Research how to best use techniques like Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to align LLMs.
• Work with technical and non-technical stakeholders to align LLMs for specific use cases.
• Research approaches to ensure LLMs are safe, preventing the generation of harmful content and maintaining alignment with societal norms.
• Research scalable oversight mechanisms that enable efficient monitoring and control of LLMs as they grow in size and complexity, ensuring consistent alignment with predefined objectives.

Requirements :  

• Strong understanding of machine learning principles, especially in the context of LLMs.
• Knowledgable about different LLM approaches for aligning LLMs (SFT, RLHF, etc.).
• Can own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out projects.
• Fluent in at least one statistical programming language such as Python (preferred) or R.
• Demonstrated background in collecting data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.
• Strong verbal and written communications skills with the ability to work effectively across internal and external organizations and virtual teams.
• PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Full benefits including but not limited to medical, dental, vision
• Corporate social events
• Professional development opportunities