# Research Scientist, Robotics

**Company**: Google DeepMind
**Location**: Mountain View, California, US
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $166,000 - $244,000 + bonus + equity + benefits
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7102795
**Canonical**: https://yubhub.co/jobs/job_f8851d08-dec

## Description

## Job Title

Research Scientist, Robotics

## Role Details

We are looking for Research Scientists to join the Robotics team at Google DeepMind. The team's mission is to build 'Embodied AI' - a robot brain capable of whole-body, dexterous, general and useful physical actions - to improve the lives of billions of people in the physical world.

## Key Responsibilities

- Design, implement, train and evaluate large models and algorithms for robotic agents.

- Write software to implement research ideas and iterate quickly.

- Leverage expertise to participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more.

- Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.

- Generate creative ideas, set up experiments and test hypotheses. Report and present research findings clearly and efficiently both internally and externally.

## Requirements

- PhD in a technical field or equivalent practical experience.

- Knowledge of the latest in large machine learning research.

- Experience working with simulators and real-world robots.

- Expertise in using large datasets with deep neural networks to make real robots useful.

- A real passion for AI impacting real world robots!

## Benefits

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.

## Skills

### Required
- large machine learning research
- simulators
- real-world robots
- deep neural networks
- robot control