Research Engineer, Multimodal Generative AI (Image/Video) at Deepmind

Deepmind

Kirkland, Washington, US; Seattle, Washington, US·16h ago

Mid LevelFull-timePythonMachine LearningTensorFlowPyTorchAI

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Research Engineer to join our team at Google DeepMind. This role focuses on developing state-of-the-art methods for multimodal generative AI models, with a primary focus on image generation and editing.

Key Responsibilities

→Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis.
→Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
→Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
→Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

Requirements

✓PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
✓Proven experience in deep learning research and development, particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models.
✓Exceptional 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.
✓Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).