Software Engineer, AI/ML, Workspace

Google; New York (NY); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Job summary

Google’s Workspace team is hiring a Software Engineer to advance GenAI-powered features. You will model, evaluate, and experiment with synthetic data, collaborating across Workspace and Gemini teams to enhance model capabilities in production products.

The role emphasizes building scalable ML infrastructure, updating documentation, and contributing to quality improvements across multiple platforms. This is a full‑time position based in the US with competitive compensation and equity.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with advanced degree.
• 1 year of experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 1 year of experience with ML infrastructure (deployment, evaluation, processing).

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and update content.
• Triage product or system issues and debug across hardware, network, or service operations.
• Implement ML solutions, utilize ML infrastructure, and optimize data processing.

Skills

Software development

ML infrastructure

Reinforcement learning

Speech/Audio

Education

Bachelor’s degree or equivalent

Master’s degree or PhD preferred

Job description

Software Engineer, AI/ML, Workspace

Sunnyvale, CA, USA; New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year 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.
• 1 year 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 fields.
• 2 years of experience with data structures and algorithms.
• 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.

In this role, you will work on different areas of quality for the generative AI-powered features in Workspace. You will have experience in modeling, evaluation, experimentation, synthetic data generation, and improvement of GenAI in real products. You will be collaborating across multiple teams and functions within Workspace as well as Gemini teams to bring model capabilities and quality improvements to various Workspace products. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Write 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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.