Research Engineer

2 weeks ago

London, United Kingdom NLP PEOPLE Full time

Our interdisciplinary team drives the responsible development of safe and equitable AI systems, including identifying potential harms from current and future AI systems, and conducting (socio)technical research to mitigate them.
Research Engineers spearhead innovative technical approaches, collaborating closely with internal AI research teams (like Scalable Alignment and Ethics Research), product teams (including Bard and Gemini), and external research partners.
Identify, investigate and mitigate possible risks and harms of foundation models, stemming from capabilities, human-AI interaction and systemic impacts.
Build infrastructure that accelerates research velocity by enabling fast experimentation on foundation models (text and multimodal), and easy logging and analysis of experimental results.
Support human data collection and data set creation.
Gemini) are informed by and adhere to the most advanced safety research and protocol
Help make sure our AI models work well for everyone.
In order to set you up for success as a Research Engineer as part of VOICES at Google DeepMind, we look for the following skills and experience:
You have at least one year of hands-on experience working with deep learning and/or foundation models
You are adept at building codebases that support machine learning at scale. You are familiar with ML / scientific libraries (e.g. Your knowledge of statistics and machine learning concepts enables you to understand research papers in the field.
You are keen to address harms from foundation models, and plan for your research to impact production systems on a timescale between “immediately” and “a few years”.
You are excited to work with strong contributors from different fields of research to make progress towards a shared adventurous goal.
You have experience as tech lead on research projects
You have an ambition to grow and lead a team of Research Engineers
You have technical experience in responsible AI, sociotechnical AI and/or AI Safety (whether from industry, academia, coursework, or personal projects).
You have experience in running evaluations and/or collecting human data.
You have an interest in Natural Language Processing and related areas.
You have experience in contributing to publishing research papers at conferences, ranging from ACL, NeuIPS, ICML, to ACM CHI, or FAccT.
Entry Level (Less than 2 years of Experience)
Tagged as: Industry , Machine Learning , Natural Language Processing , NLP , OCR , United Kingdom
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