Lead Machine Learning Engineer Multimodality Gemini
Lead Machine Learning Engineer Multimodality Gemini
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1 Vacancy
Job Description
Snapshot
Spearhead the development and deployment of cuttingedge multimodal AI models for Gemini directly shaping the future of how users interact with image video and audio content across Googles platforms. This role demands a deep understanding of SOTA research and the ability to translate it into scalable productionready solutions.
About us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The role
Join our team at the forefront of multimodal AI development where youll contribute to building cuttingedge capabilities for Gemini. Multimodality is a strategic priority for Google aligned with industrywide trends and the future of AI. We are working on driving SOTA research to production and delivering best in class image generation image video and screen understanding. This momentum continues as we focus on:
- Developing stateoftheart multimodal Gemini models.
- Expanding capabilities to understand and generate images and videos
- Launching on all surfaces including web mobile and AR/VR.
Youll leverage advanced techniques like finetuning RL*F and PolicyOptimization / PreferenceData to push the boundaries of multimodal AI as well as focusing on low latency scalable solutions.
Key responsibilities
- Collaborate closely with research teams to evaluate and drive SOTA multimodal technologies adapting and optimizing them for scalable launches.
- Provide technical leadership in defining the strategic direction for multimodal model development ensuring alignment with Googles broader AI goals.
- Lead the implementation of advanced techniques including SFT RL*F IPO/DPO to drive significant quality improvements and achieve breakthrough performance in multimodal models.
- Independently design and execute complex experiments to validate and refine model architectures and training methodologies.
- Conduct rigorous indepth data analysis to identify critical insights uncover emerging trends and pinpoint strategic opportunities for enhancing multimodal capabilities.
- Develop and articulate datadriven recommendations that inform the strategic development of a robust data flywheel driving continuous improvement and innovation.
- Act as a technical mentor to other team members.
About you
In order to set you up for success as a Lead ML Engineer at Google DeepMind we look for the following skills and experience:
- Masters degree or PhD in Computer Science Artificial Intelligence Machine Learning or a related technical field.
- Proven experience in developing and deploying largescale machine learning models particularly in the domain of multimodal AI (image video audio).
- Experience with large language models and multimodal model architectures.
- Strong problemsolving and analytical skills with the ability to design and execute complex experiments.
In addition the following would be an advantage:
- PhD in ML or considerable experience working with LLMs
- Experience with SFT RL*F IPO/DPO.
- Strong data analysis skills
- Thrive under pressure in highstakes highvisibility environments.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Application deadline: 12pm GMT Thursday 10th April 2025
Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy.
Employment Type
Full Time
