Full-Time

Technical Program Manager

Robotics

Confirmed live in the last 24 hours

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology
Education

Compensation Overview

$122k - $186kAnnually

+ Bonus + Equity

Mid, Senior

Mountain View, CA, USA

Category
Project Management
Mechanical Engineering
Engineering Management
Business & Strategy
Required Skills
Software Testing
Requirements
  • 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 -10 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.
  • Robotics domain knowledge and experience (advantage).
  • Experience managing operational teams (advantage).
  • Experience in a technical lab or production environment (advantage).
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

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Company Stage

Acquired

Total Funding

$4.9M

Headquarters

London, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • DeepMind's advancements in AI-driven drug discovery, such as collaborations with Lilly and Novartis, promise significant contributions to healthcare and pharmaceuticals.
  • The introduction of AlphaCode 2 and other AI models showcases DeepMind's continuous innovation and leadership in competitive programming and AI research.
  • DeepMind's AI tools for music creation and weather forecasting demonstrate the company's versatility and potential to revolutionize multiple industries.

What critics are saying

  • The backlash against Google's Gemini AI model could impact DeepMind's reputation and trustworthiness in the AI community.
  • The competitive landscape in AI is intense, with rapid advancements from other tech giants potentially overshadowing DeepMind's innovations.

What makes DeepMind unique

  • DeepMind's pioneering work in AI, such as the development of AlphaFold and AlphaCode, sets it apart as a leader in both scientific research and practical AI applications.
  • The company's integration with Google's vast resources and data infrastructure provides a significant competitive advantage over standalone AI firms.
  • DeepMind's focus on ethical AI and its collaborations with industry leaders like Lilly and Novartis highlight its commitment to impactful and responsible AI innovation.

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