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Snapshot
The Robotics Operations team is looking for a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve "Embodied AI."
About us
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. 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.
The role
As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.
Key responsibilities:
- Apply technical knowledge to identify and execute pragmatic solutions.
- Ability to work with partners to advance and deliver cross-functional goals.
- Partner closely with the data collection teams to establish and govern our internal data collection efforts.
- Partner closely with research teams to ensure seamless delivery of new evaluations and data collections.
- Apply expertise in program management methodologies, tools, and relevant industry knowledge in Robotics to drive program success.
- Monitor and report on operational efficiency and resource utilization metrics.
- Oversee design and implementation of new environments for data collection or robot platform modifications with the Engineering team.
- Evaluate and improve processes, tools, templates and documentation for repeatability and sustainability.
- Implement processes and methodologies to reduce operational costs.
- Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships.
About you
The Technical Program Manager must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind’s research through strategic cross-functional partnerships.
In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
- Experience partnering with Research/Engineering leads on high impact, goal oriented, projects.
- Bachelor’s degree in an engineering discipline along with equivalent practical experience 5+ years .
- Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
- Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
- Experience in solving complex challenges, implementing scalable and sustainable solutions.
- Knowledge of, or curious to learn about AI/machine learning research.
- Familiar with hardware and software testing and associated safety protocol.
In addition, the following would be an advantage:
- Robotics domain knowledge and experience.
- Master’s degree in a relevant field (Robotics/AI).
- Experience managing operational teams.
- Experience in a technical lab or production environment.
Application deadline: 12:00pm GMT, 31st January, 2025
Top Skills
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.
