onsite
AI Research Scientist, Applied AI
Research Engineer
Conduct applied AI research focusing on generative models, develop C++ prototypes, and design experiments to evaluate deep‑learning performance on Google Cloud infrastructure.
About the role
Key Responsibilities
- Design and implement C++ prototypes for generative AI models and related deep‑learning pipelines.
- Plan, execute, and analyze large‑scale experiments to assess model performance, scalability, and robustness.
- Develop evaluation frameworks and metrics to benchmark AI systems against state‑of‑the‑art baselines.
- Collaborate with cross‑functional teams to integrate research outcomes into Google Cloud services and products.
- Publish findings in internal reports and external venues, contributing to the broader AI research community.
Requirements
- Advanced degree (Ph.D. or equivalent) in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
- Strong proficiency in C++ and experience building high‑performance ML code.
- Deep understanding of deep learning architectures, especially generative models (e.g., GANs, diffusion models).
- Proven track record of designing and executing rigorous ML experiments and evaluations.
- Experience with cloud platforms, preferably Google Cloud, for large‑scale model training and deployment.
Skills
cdeep learninggenerative ai