Research Scientist

Essential functions

• Conduct research on optimizing Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) techniques for aligning LLMs with specific use cases.
• Collaborate with technical and non-technical stakeholders to ensure LLMs align with business objectives and user needs.
• Investigate methods to prevent harmful content generation and ensure LLM outputs adhere to safety and societal guidelines.
• Develop scalable mechanisms for monitoring and controlling LLMs as they grow in size and complexity, ensuring consistent alignment with predefined goals.
• Own and drive a research agenda, selecting high-impact projects that align with business priorities and deliver value.

Qualifications

• PhD in any field (preferably Linguistics, Behavioral Psychology, Cognitive Science, or a related discipline).
• Demonstrated experience with human/user data, quantitative analysis, and behavioral research.
• Experience with machine learning techniques, particularly related to LLMs.
• Strong understanding of human data collection methods (surveys, experiments) with emphasis on data quality and validity.
• Strong foundation in machine learning, particularly in the context of LLM alignment techniques (SFT, RLHF).
• Proficiency in Python or R for statistical programming and data analysis.
• Experience with safety research, human behavior, or evolution-related studies.
• Excellent communication skills for working with diverse internal and external teams.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.