Research Engineer, Multimodal Generative AI, Google
2 days ago
Additional job description
We are seeking highly motivated and innovative Research Engineers to join our team in Singapore, focused on advancing state-of-the-art methods for AI generative media models, with a particular focus on culturally-adapted image and video generation. This role offers a unique opportunity to contribute to foundational research in multimodal LLMs, with a special emphasis on unique challenges in the Asia-Pacific (APAC) region, while collaborating with a world-class team at Google DeepMind around the world. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply.
At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year
Job responsibilities
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Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, with a particular emphasis on culturally-adapted image and video synthesis.
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Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.
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Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing innovations that can be effectively contributing to real-world impact.
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Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
Minimum qualifications
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Bachelors in Computer Science, Artificial Intelligence, or related area.
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2 years of relevant experience in deep learning research and development, particularly in generative AI and related to image and video synthesis. This includes diffusion models and autoregressive generative models.
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Strong engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.
Preferred qualifications
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Demonstrated experience in large-scale training of multimodal generative models.
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A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.
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Strong publication record in top-tier AI conferences or journals.
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Experience working in a collaborative, cross-functional team environment, particularly across different time zones.
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