Research Engineer – ACE

About Deepmind

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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.

Job Summary

The ACE team focuses on enabling Gemini for advanced automation and powering innovative AI experiences across all modalities within Ads & Commerce. We tackle unique research problems motivated by real-world needs in these domains, particularly where foundational models require further refinement. Specifically, we leverage Gemini’s cutting-edge multimodal understanding and reasoning capabilities to automate complex tasks such as feature discovery in recommendation systems and creative asset generation, thereby solving crucial research challenges that close the gap in our latest foundational models.

Key Responsibilities

• Apply the most promising models and research to high-impact real world problems.
• Rapid-prototype initial concepts and design experiments to evaluate opportunities.
• Collaborate closely with teams across Google DeepMind and Google Research.
• Work on projects with product partners and bring together engineering teams with researchers, product managers, and program managers.

Requirements

• BSc, MSc in computer science, mathematics, applied stats, machine learning with 5+ years of relevant experience.
• Proven knowledge and coding experience in Python and using Tensorflow/ Pytorch/JAX framework.
• Hands-on experience with training (pre and / or post training) and evaluating LLMs (e.g. SFT, RLFT).
• Proven industry experience, working on projects from proof-of-concept through to implementation.