Staff Machine Learning Software Engineer, AI Innovation/Research (google)

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development, and with data structures/algorithms.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  
• 5 years of experience in the Machine Learning field.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
  
• 3 years of direct experience developing and launching ML based product workflows.
  
• 3 years of experience with ML frameworks and infrastructure, and willingness to learn new ones as necessary.
  
• Experience with designing and launching large-scale cross-team projects in a zero-to-one environment.
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• Experience developing/using Machine Learning models for Code, NLP, or Vision.
  

Summary

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in software development, and with data structures/algorithms.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  
• 5 years of experience in the Machine Learning field.

Description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Staff Machine Learning Software Engineer, you will care deeply about how developers interact with technology and want to empower meaningful, positive change in the developer community. This is the next frontier of AI computing and holds the unique opportunity to positively impact developers.

In this role, you will make direct technical contributions while navigating ambiguity. This role will be largely self-directed and operate independently with minimal oversight. We value those who are willing to help out with whatever moves the project forward.

This is a unique chance to join our multidisciplinary team working on AI research, building from zero to one. You will be working first-hand with advanced AI technologies and turning new ideas into finished products, fundamentally impacting people’s lives.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $189,000-$284,000 + 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

• Partner closely with Researchers across Alphabet (e.g., Google DeepMind, Google Research, Labs, Core)  to build emerging AI capabilities and technologies for coding/software engineering.
  
• Partner closely with Product teams across Platforms and Devices (e.g., Android Studio, Chrome Developer Tools, Aluminium, PDEIO, etc) to understand developer pain points and develop novel user experiences to address challenges.
  
• Ideate and run experiments to enhance model quality.
  
• Collaborate closely with cross-functional and cross-product area partners to plan and prioritize projects.
  
• Design, develop, and launch new product features.