Research Scientist, LLM for Science
Research Scientist, LLM for Science
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Job Description
Snapshot
Our special interdisciplinary team combines the best techniques from deep learning reinforcement learning and systems neuroscience to build generalpurpose 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 years.
About Us
Were a dedicated scientific community committed to solving intelligence and ensuring our technology is used for widespread public benefit.
Weve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We dont set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
The Role
To succeed in this role you will need to be passionate about advancing science using recent breakthroughs in large language models in addition to standard machine learning and other computational techniques. You will join an interdisciplinary team of domain experts ML researchers and engineers exploring a diverse set of important scientific problems in biology physics mathematics and other areas. Our work is organised into several longerterm focus areas which aim to achieve step changes to the stateoftheart (as exemplified in e.g. AlphaFold AlphaMissense and FunSearch). Youll leverage our unique mix of expertise data and computational resources to experiment and iterate both rapidly and at scale.
As a Research Scientist in Science you will use your machine learning expertise to collaborate with domain experts and machine learning scientists to develop and run experiments exploring new applications of AI particularly LLMs to science problems. The team is pioneering in many different domains so you may take part in exploratory work validating early ideas or work in a maturing area to deepen and exploit a promising line of research. You may also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge. You will work with internal and external researchers on pioneering research bridging AI and science.
Key responsibilities:
- Research the development and application of natural language LLMs for scientific problems.
- Plan and perform rapid prototyping of large language model techniques applied to problems in science.
- Engage with both underlying data sources (including diverse scientific text figures and multimodal data) and models.
- Undertake exploratory analysis to inform experimentation and research directions.
- Collaborate with researchers and machine learning engineers to identify and develop novel large language model approaches tailored to natural sciences.
- Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally verbally and in writing.
- Suggest and engage in team collaborations to meet research goals for the wider science program.
The role will suit candidates who enjoy working in a heavily experimental setting with large and noisy datasets and who wish to immerse themselves in innovative science LLM ML and AI research.
About You
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:
- PhD degree or equivalent experience in computer science electrical engineering natural science or mathematics.
- Experience working with large language models (LLMs) e.g. finetuning and inference.
- Experience working with large and noisy datasets.
- Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python or C).
- Knowledge of linear algebra calculus and statistics equivalent to at least firstyear university coursework.
- Experience exploring analysing and visualising data.
- Experience using Jax PyTorch NumPy Pandas or similar ML/scientific libraries.
In addition the following would be an advantage:
- Experience with advanced recent LLM techniques.
- Scientific domain knowledge (particularly biology physics or chemistry).
When assessing technical background we will take a holistic view of the mix of scientific ML and computational experience. We do not expect you to be an expert in all fields simultaneously. However except for scientific knowledge since the role serves as a bridge between all three some experience in each is necessary.
Employment Type
Full Time
