Research Engineer, Media Understanding- Multimodal Representation Models
Mountain View, CA
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The Role
As part of the multimodal features team in Media Understanding at Google DeepMind, you will have the opportunity to advance the state-of-the-art research in Embedding/representation models in context of large language models. You'll be at the forefront of developing models that power Google products used by billions of people worldwide. Your work will directly impact how these products understand and interact with diverse media, including text, images, audio, and video. This is a unique opportunity to shape the future of multimodal AI and its applications in a dynamic and impactful environment.
We are a team of research/software engineers, research scientists, and machine learning experts, working together to enable superhuman understanding of the visual world. We are aiming at training the most powerful omnimodal embedding model which can be used for retrieval and other agentic use cases in Google products.
You'll be developing the next SOTA models for multimodal understanding. Your work will include researching new modeling techniques, implementing research ideas, running experiments to evaluate improvements, and identifying new opportunities.
Key Responsibilities
As a member of the media understanding team, you will be responsible for conducting core and applied research in computer vision and language understanding to support a multitude of Google products and use cases. Your job responsibilities will include:
- Conducting core research in the areas of computer vision, language understanding, multimodal models, large scale AI models and other key computer vision tasks.
- Training and evaluating AI models for a variety of product use cases.
- Researching, Implementing, and adapting state of the art deep learning approaches for Google’s use cases
- Collaborating closely with other GDM and partner teams to make progress towards building the most advanced embedding models.
About You
We are an applied research team that takes on challenging real-world problems and thrives on finding solutions in the presence of ambiguity. In order to set you up for success as a Research Engineer/Scientist at Google DeepMind, we look for the following skills and experience:
- Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience.
- Innovate and assess new machine learning models and techniques for pilot projects, quickly demonstrating viability and potential impact. Transform successful prototypes into scalable solutions for wider integration within Google's products.
- Conduct research to identify and address impactful problems inspired by current and future real-world needs. Investigate and develop novel solutions by studying related work, conducting experiments, and constructing prototypes and demonstrations.
- Collaborate with product teams to drive the implementation of research insights, fostering innovation and the development of new products.
In addition, the following would be an advantage:
- Strong research experience and publication record in top tier conferences.
- Experience with core software engineering and applied implementations of AI
- A good team player who has demonstrated that they can work across teams given that image-text involves collaborating with both research and product teams.
- Hands-on experience with Google-scale infrastructure would be a plus, e.g. large scale data mining from various Google data stores. Automation pipeline. Client deployment across PAs.
The US base salary range for this full-time position is between $215,000 - $250,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: Friday, February 28th 2025
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