Creative Technologist, Demos and Experiments
Job Summary
Job Description
As a Creative Technologist at Google Cloud's Demos and Experiments team, you'll push technical and creative boundaries. Responsibilities include developing new applications from prototype to launch using cutting-edge research and technologies. You'll collaborate with a diverse team (designers, writers, filmmakers, programmers) to create interactive interfaces, visualizations, physical prototypes, native applications, and web-based products, including server-side implementation. This role demands implementing machine learning models, experimenting with APIs and libraries, and advocating for best practices in system architecture, privacy, and security. You will represent the team externally and coordinate internally with engineers and researchers. The work involves synthesizing feedback from partners and stakeholders to prototype demos and experiences.
Must have:
- Bachelor's degree in CS/Design or equivalent
- 5+ years coding/ML experience
- Experience with multiple languages (JS, HTML5, C++, Python, Java, Go)
- AI application architecture design
- Develop new applications from prototype to launch
Good to have:
- App Engine development
- Hardware hacking, tangible interfaces
- UI/UX knowledge
- Ability to manage multiple projects
- Interest in gadgets and inventions
Perks:
- Bonus
- Equity
- Benefits
7 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science, Design, or equivalent practical experience.
- 5 years of experience with coding or machine learning.
- Experience with multiple languages and technologies (e.g., JavaScript, HTML5, C++, Python, Java, Go).
- Experience in designing architectures for Artificial Intelligence (AI) applications.
Preferred qualifications:
- Experience with App Engine development, with hardware hacking, tangible interfaces, and experimental User Interface (UI).
- Knowledge of User Interface/User Experience (UI/UX).
- Ability to grow in a changing environment while managing multiple projects.
- Ability to take initiative with an interest in gadgets, inventions, and leaps in
About the job
In this role, you will be pushing technical and creative boundaries. You will implement machine learning on products, development of interactive interfaces, front-ends, visualizations, physical prototypes native applications, and web-based products, including server-side implementation. You will work with a team of designers, writers, filmmakers, programmers, and creative tinkerers, while representing the Demos and Experiments team, and promote outside agency relationships as well as internal coordination with engineers and researchers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.The US base salary range for this full-time position is $141,000-$206,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Develop new ideas and applications, from prototype to launch, using the Demos and Experiments methodologies based on the latest research and technologies.
- Work with a small team of technologists, engineers, designers, and producers, while synthesizing feedback from partners and stakeholders to prototype demos or experiences.
- Represent the user, and advocate for the best practices in terms of system architecture, privacy, security, etc.
- Work with machine learning models, implement them into projects, and learn new technologies and platforms. Experiment with various internal and external Application Programming Interface (APIs) and libraries.
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