Research Scientist

Designing and implementing novel machine learning algorithms and architectures for specialized domains

Conducting empirical research and rigorous evaluation of model performance and capabilities

Publishing research findings in top-tier academic conferences and peer-reviewed journals

Prototyping and iterating on research ideas with clean, maintainable code

Collaborating with cross-functional engineering and product teams to translate research into production systems

Developing and optimizing large-scale neural networks and foundation models

Designing evaluation frameworks and metrics for assessing model quality and safety

Applying reinforcement learning and post-training techniques to improve model behavior

Building data pipelines and managing large-scale data processing for model training

Conducting ablation studies and analyzing model scaling properties and architectural choices

Building agentic systems and orchestrating intelligent agents for complex tasks

Implementing multimodal learning across text, image, audio, and video modalities

Developing techniques for model interpretability and understanding internal representations

Optimizing models for real-time inference and production deployment constraints

Developing safety, fairness, and alignment techniques for AI systems

Designing grounding and retrieval mechanisms for information-seeking tasks

Communicating technical concepts clearly through writing and presentations

Translating abstract research problems into concrete technical implementations

Mentoring junior researchers and fostering collaborative research environments

Leading research initiatives and managing project scope across teams

Conducting rapid iteration and adaptation in response to experimental results

Identifying research directions aligned with business impact and user needs