Our client is a global technology company.
As a Product Manager at its AI research lab, you will be responsible for the shipping AI research breakthroughs into our client's AI models and products. You will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. You will understand the implications of new architectures on Gemini and other models, help teams navigate the tradeoffs and build collaborations with model development teams, work with various product areas like Cloud and Search to understand customer needs and how model advancements can address those needs. In addition to shipping architectural advances directly into our models, you may sometimes also ship a new model family or work with products to ship custom models directly into products. You will also help research teams build the communication and ecosystem strategy for the model advancements so that they get the right level of adoption and awareness.Artificial intelligence will be one of humanity's most transformative inventions. At its AI research lab, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $ - $ (USD) + 25% bonus target + equity + benefits
Learn more about benefits at our client.
Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience.
10 years of experience building AI products, including AI architecture and models.
Preferred qualifications: Understanding of the current model landscape and strengths or weaknesses of various techniques.
Ability to stay up-to-speed on all relevant research in core model advancements.
Ability to zoom out and predict model...
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