Developer Advocate
ElevenLabsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Robotics, TechnologyIndustries
Requirements
- Bachelor's degree or equivalent relevant experience
- Experience managing successful developer communities, especially in robotics and foundation models
- Experience developing and maintaining (open sourced) software libraries or applications with external developers
- Practical experience with robotics and/or foundation models; worked with popular robotics stack, tools, and libraries
- Passionate about robotics and foundation models (advantageous)
- Compassion with developers and willingness to help with examples, tutorials, and documentation (advantageous)
- A portfolio of technical blog posts or public event engagements in robotics or foundation model areas (advantageous)
- Excellent verbal and oral communication (advantageous)
Responsibilities
- Prototyping and reference implementation: Act as the "zeroth user", build prototypes, write and maintain code examples and demos, evaluate developer workflow, and provide critical, hands-on feedback to improve developer experience
- Own open source: Develop and maintain open source repositories and libraries, and improve the general project for external developers
- Technical Content and Education: Create and publish technical content, such as tutorials, integration guides, API documentation, video workshops, and deep-dive blogs, that simplifies complex concepts and lowers the barrier to entry for developers
- Community Engagement & Advocacy: Represent Google DeepMind as a technology advocate at major robotics conferences and events (e.g., ROSCon, ICRA), attend developer meetups, actively engage with the community on forums (e.g., Discourse), GitHub, etc., answering questions, resolving problems, collecting feedback
- Strategy and Ecosystem Growth: Help define roadmap and strategy for new robotics models, SDK, and tools. Drive the growth of our developer ecosystem
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key responsibilities of this Research Engineer role?
Key responsibilities include prototyping and reference implementations, owning open source repositories, creating technical content and education materials, engaging with the community at conferences and forums, and contributing to strategy and ecosystem growth for robotics models and tools.
What skills and experience is DeepMind looking for in this role?
DeepMind looks for a unique blend of deep technical expertise, genuine developer empathy, and strategic thinking to navigate generative AI in robotics, along with skills in prototyping, open source development, technical content creation, community engagement, and ecosystem strategy.
Is this role remote or does it require working from an office?
This information is not specified in the job description.
What is the salary or compensation for this position?
This information is not specified in the job description.
What makes a strong candidate for this Research Engineer position?
A strong candidate acts as the technical bridge with developer empathy, excels in hands-on prototyping and open source contributions, creates educational content, engages actively in robotics communities like ROSCon and ICRA, and contributes to strategic roadmap for AI tools.
DeepMind
Develops artificial general intelligence systems
About DeepMind
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.
London, United KingdomHeadquarters
2010Year Founded
$4.9MTotal Funding
ACQUISITIONCompany Stage
AI & Machine Learning, BiotechnologyIndustries
1,001-5,000Employees
Benefits
Performance Bonus
Risks
Emerging AI models may challenge DeepMind's current strategies.
Backlash against AI models like Gemini poses reputational risks.
Labeling AI-generated content could increase operational complexity for DeepMind.
Differentiation
DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
DeepMind's AlphaFold model advances protein folding research significantly.
GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.
Upsides
AI-driven drug discovery is set to grow significantly in 2024.
AlphaCode 2 showcases AI's potential in competitive programming.
DeepMind's AI tools are transforming music creation and meteorology.
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