# Research Scientist, AI-powered Scientific Discovery

**Company**: Google DeepMind
**Location**: Montreal, Canada
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7647558
**Canonical**: https://yubhub.co/jobs/job_77d71d83-115

## Description

We are seeking a Research Scientist to join our team in Montreal dedicated to AI for Scientific Discovery. The team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries.

Research includes, but is not limited to, general-purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large-scale AI-powered empirical research.

Responsibilities:

* Design, implement, and evaluate models, agents, and software prototypes of large foundational models.
* Push the boundary of state-of-the-art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.
* 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 ambitious research goals.
* Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
* Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About you:

* PhD in Computer Science, Artificial Intelligence, or a related field.
* Strong publication record in top-tier machine learning conferences or journals.
* Solid understanding of deep learning, natural language processing, and/or reinforcement learning.
* Experience with Large Language Models, preferably in the context of code synthesis.
* Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
* A real passion for AI!

## Skills

### Required
- Large Language Model (LLM)
- Reinforcement Learning
- Machine Learning Optimization
- Deep Learning
- Natural Language Processing

### Nice to have
- JAX
- TensorFlow
- PyTorch