Enabling Gemini for advanced automation and powering innovative AI experiences across all modalities within Ads & Commerce by tackling unique research problems where foundational models require further refinement.
Requirements
- Proven knowledge and coding experience in Python and using Tensorflow/ Pytorch/JAX framework
- Hands on experience with training (pre and / or post training) and evaluating LLMs (e.g. SFT, RLFT)
- Experience in applying experimental ideas to applied problems
- Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models
- Experience applying and productionizing state-of-the-art large visual, language and multimodal research
- Software engineering skills and experience working on large-scale ML projects
- Contributions to open-source projects
Responsibilities
- Leverage Gemini’s cutting-edge multimodal understanding and reasoning capabilities to automate complex tasks such as feature discovery in recommendation systems and creative asset generation.
- Applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.
- Gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.
- Drive new research ideas from conception, experimentation, to productionisation in a rapidly shifting landscape.
- Invent novel solutions to problems, and often change course if our ideas don’t work out.
- Work on any project independently.
- Conducting applied research to improve the quality and training/serving efficiency of large transformer-based models.
Other
- BSc, MSc in computer science, mathematics, applied stats, machine learning with 5+ years of relevant experience
- Proven industry experience, working on projects from proof-of-concept through to implementation
- Great communication skills and proven interpersonal skills
- PhD/DPhil degree in computer science, mathematics, applied stats, machine learning
- Cross functional collaboration experience
