onsite
Senior Research Scientist - Generative AI & Applied Research
Research Engineer
Lead advanced research in generative AI, focusing on embeddings, error analysis, and evaluation metrics. Design experiments to push the state of the art and translate findings into scalable solutions.
About the role
Key Responsibilities
- Design, implement, and evaluate experiments on generative models, focusing on embeddings and downstream performance.
- Develop robust error analysis frameworks to diagnose model failures and guide iterative improvements.
- Define and refine evaluation metrics that capture both quantitative and qualitative aspects of generative outputs.
- Collaborate with cross‑functional teams to translate research insights into production‑ready solutions.
- Publish findings in top conferences and maintain a strong publication record.
Requirements
- Ph.D. in Computer Science, Machine Learning, or related field with a strong research background.
- Deep expertise in generative modeling, embeddings, and evaluation methodology.
- Proven experience designing large‑scale experiments and performing rigorous error analysis.
- Strong programming skills in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
- Excellent communication skills and a track record of publishing in peer‑reviewed venues.
Skills
generative aimachine learning