Senior Software Engineer, AI/ML, Google Workspace

Google; Ionia (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Workspace Senior Software Engineer, AI/ML in New York, NY, USA will work on advancing AI-powered features for Gmail, Docs, Drive, Calendar, Sheets, and Meet. You will design and implement scalable ML systems, collaborate across teams, and influence product decisions from model design to deployment.

The role requires strong Python/C++ skills, experience with ML infrastructure, and a track record in testing and deploying software.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio tech, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
• Master's or PhD in CS or related field (preferred).
• 5 years of experience with data structures and algorithms (preferred).
• 1 year of experience in a technical leadership role (preferred).
• Experience developing accessible technologies (preferred).

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve impact on hardware, network, or service operations.
• Design and implement solutions in ML areas, leverage ML infrastructure, and demonstrate expertise in a field.

Skills

Python

C++

ML infrastructure

Speech/audio tech

Reinforcement learning

ML field specialization

Model deployment

Testing/QA

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Job description

Senior Software Engineer, AI/ML, Google Workspace

Location: New York, NY, USA

Experience Level: Mid

Overview

Share Senior Software Engineer, AI/ML, Google Workspace

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 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.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

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.

AI will change the future of work in profound ways, and our products-Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US Salary: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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