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Staff Software Engineer, AI/ML, Google Workspace

Staff Software Engineer, AI/ML, Google Workspace

2 Weeks ago • 8-13 Years • Artificial Intelligence

About the job

Summary

This Staff Software Engineer role focuses on AI/ML within Google Workspace. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions; providing technical leadership on high-impact projects; managing project priorities; facilitating team alignment; coaching engineers; and leading the design and implementation of solutions in specialized ML areas. The ideal candidate will have extensive experience in software development, ML infrastructure optimization, and model deployment, along with strong leadership and communication skills. Experience with speech/audio, reinforcement learning, or other ML fields is highly valued.

6 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

reinforcement-learning

data-structures

model-deployment

networking

cross-functional

Must have:

8+ years software development experience
5+ years testing and launching software
5+ years ML design and infrastructure optimization
Experience with data structures/algorithms
Experience in one or more ML fields (speech/audio, reinforcement learning, etc.)

Good to have:

Master's or PhD in a related field
Technical leadership experience
Experience in a complex, matrixed organization

Perks:

Bonus
Equity
Benefits

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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 with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.

About the job

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.

The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience -- and changing the way they think about computing.

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 .

Responsibilities

Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

View Full Job Description

$189.0K - $284.0K/yr (Outscal est.)

$236.5K/yr avg.

Worldwide

About The Company

Google

2202 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.