Google DeepMind · 3 days ago
Research Engineer - ACE
Google DeepMind is a team of scientists and engineers advancing artificial intelligence for public benefit. The Research Engineer role involves applying innovative models to real-world problems, conducting experiments, and collaborating with cross-functional teams to drive research from conception to production.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity
Gaining an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference
Being part of a small project team led by Research Engineers, with close mentorship from Gen AI Unit leadership
Working on projects focusing on Natural Language Generation and Understanding, Multimodal Understanding, Planning and reasoning, Reinforcement Learning, and Agents
Qualification
Required
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
Experience in applying experimental ideas to applied problems
Great communication skills and proven interpersonal skills
Preferred
PhD/DPhil degree in computer science, mathematics, applied stats, machine learning
Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models
Experience applying and productionizing state-of-the-art large visual, language and multimodal research
Software engineering skills and experience working on large-scale ML projects
Contributions to open-source projects
Cross functional collaboration experience
Prior experience collaborating with researchers
Prior experience working with product teams
Publications at top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV)
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
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