Research Scientist, Robotics - MTV

Posted 10 Hours Ago
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Mountain View, CA
133K-240K Annually
Entry level
Artificial Intelligence
The Role
Research Scientists at Google DeepMind work on developing algorithms and software prototypes for robotic agents, report research findings, collaborate with teams, and maintain relationships with research labs. The goal is to advance embodied AI technology for practical applications.
Summary Generated by Built In

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

We are looking for Research Scientists to join the Robotics team whose mission is to build “Embodied AI” - a robot brain capable of turning language instructions into useful physical actions -  to improve the lives of billions of people in the physical world.

The Role

Research Scientists work on a diverse and stimulating range of projects including: developing algorithms and prototype applications, providing software design and programming support to research projects, along with architecting and implementing software libraries. Our Research Scientists are pivotal to the development and ongoing improvement of our research through the computational implementation of our latest theoretical work.

Key responsibilities:

  • Design, implement and evaluate models and software prototypes of robotic agents.
  • 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.

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 in a technical field or equivalent practical experience.
  • Knowledge of the latest in large machine learning research. 

In addition, the following would be an advantage: 

  • 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!

What We Offer

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.

We are also open to relocating candidates to California and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

The US base salary range for this full-time position is between $133,000 - $240,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

 

Top Skills

Deep Neural Networks
Machine Learning
The Company
1,218 Employees
On-site Workplace
Year Founded: 2010

What We Do

We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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