Research Engineer, Multimodal Generative AI, Google DeepMind

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

• 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.

• Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.

• 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.

• 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

• Bachelors in Computer Science, Artificial Intelligence, or related area.

• 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.

• 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

• Demonstrated experience in large-scale training of multimodal generative models.

• A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.

• Strong publication record in top-tier AI conferences or journals.

• Experience working in a collaborative, cross-functional team environment, particularly across different time zones.