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Urgent! Research Scientist, World Models for Robotics Job Opening In Mountain View – Now Hiring Google
Snapshot
Artificial Intelligence could be one of humanity’s most useful inventions.
At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence, including building interactive world models.
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.
About Us
We are looking for Research Scientists to join the Robotics team whose mission is to build “Embodied AI” to power the next generation of helpful robots.
The Role
Research Scientists work on a diverse and stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab tackling real world use cases.
Research Scientists work in large collaborative teams to make cutting edge breakthroughs to advance Robotics AI.
We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models.
This role will involve working with a diverse multi-functional team that builds the future of robotics.
Key responsibilities:
+ Design, implement, train and evaluate large world models and algorithms for robotic agents.
Make breakthroughs and unlock new robot capabilities.
+ Write software to implement research ideas and iterate quickly.
+ Leverage your expertise to participate in a wide variety of research building towards breakthroughs in general purpose robotics and contributing towards our flagship Gemini Robotics models.
+ Work effectively with a large collaborative team with fast-paced agendas to meet ambitious research goals.
+ Working with real robots in the lab to bring these breakthroughs to life in real hardware
+ Generate creative ideas on how to improve the fidelity, interactivity, and generalization of world models, set up experiments and test hypotheses.
Report and present research findings clearly and efficiently both internally and externally.
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:
+ A track record of building and training world models, and experience deploying these models in simulators or on real-world robots.
+ Expertise in using large datasets with deep neural networks to make real robots useful.
+ Expertise in 3D computer vision, computer graphics, physics simulation, image and video generation models.
+ A real passion for AI impacting real world robots!
The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.
Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
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 opportunities 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.
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Unlock Your Research Scientist Potential: Insight & Career Growth Guide
Real-time Research Scientist Jobs Trends in Mountain View, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Research Scientist in Mountain View, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 33493 jobs in United States and 403 jobs in Mountain View. This comprehensive analysis highlights market share and opportunities for professionals in Research Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Google is currently hiring and seeking a Research Scientist, World Models for Robotics to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Research Scientist, World Models for Robotics Jobs Mountain View.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Research Scientist, World Models for Robotics Jobs United States varies, but the pay scale is rated "Standard" in Mountain View. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Research Scientist, World Models for Robotics typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Research Scientist, World Models for Robotics interview at Google, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Google's products or services and be prepared to discuss how you can contribute to their success.
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