Senior UX Engineer, Cloud AI Google AI Platform

Minimum qualifications:

• Bachelor's degree in Engineering, Computer Science, related field, or equivalent practical experience.
• 3 years of experience in front-end development, technical UX design, or prototyping.
  
• Experience with JavaScript or TypeScript development.
• Experience with HTML and CSS.
• Experience prototyping and designing for enterprise platforms and tooling.
  

Preferred qualifications:

• 7 years of experience developing responsive, adaptive, and performant websites and applications.
  
• 5 years of experience as a front-end developer, UX Engineer, creative or design technologist, or in a prototyping design environment.
  
• Experience in one or more of the following: Swift, Kotlin, Dart, Python, Ruby, Java, or C++.
• Experience with ML Platforms and Infrastructure, and/or ML Operations.
  
• Experience with one or more of the following: Kaggle, Keras, TensorFlow, or PyTorch.
  

About the job

At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Google’s UX Engineers are versatile and passionate about taking on new problems to drive progress and vision for design teams. They’re comfortable wearing many hats and get excited about working across discipline lines to develop products and prototypes that bring new ideas to life.

Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses.

As a UX Engineer, you'll work as part of a UX team in a challenging, fast-paced environment. You’ll demonstrate your creativity, analytical skills, and knowledge of user facing technologies to create prototypes that identify the best product experiences, launch innovative features, build tools that accelerate UX teams, bridge between design and engineering discussions, and enable efficient, high quality execution.

Our mission is to build a future where Machine Learning (ML) is understood, usable, accessible, and joyous to develop by everyone. We work closely with product and engineering to design, build, and improve a product portfolio. We provide partners with user intelligence, innovation insight, and confidence in design direction through our research and design methods and teams.

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 $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 benefits at Google.

Responsibilities

• Fulfill several project requests simultaneously while meeting tight deadlines.
• Advise, collaborate with, and synthesize feedback from UX designers and researchers.
• Collaborate with other engineers on final implementation and polish.
• Meet high accessibility standards.
• Serve as a mentor for early career UX engineers and peers.