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
1 applies
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