Software Engineer, AI/ML, Workspace

Google; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking software engineers to advance generative AI features in Workspace. You will model, evaluate, experiment, generate synthetic data, and improve GenAI in real products.

You will collaborate across Workspace and Gemini teams to bring model capabilities and quality improvements to various Workspace products. As a software engineer you will write code, review designs, contribute to documentation, and help debug issues affecting hardware, network, or services.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 1 year of experience in ML areas: speech/audio, reinforcement learning, ML infra, or related field.
• 1 year of ML infrastructure experience: deployment, evaluation, optimization, data processing.

Responsibilities

• Write product or system development code.
• Review designs with peers to ensure best practices and quality.
• Contribute to documentation and update content as product evolves.
• Triage issues and debug impacts on hardware, network, or services.
• Implement solutions in ML areas and contribute to model optimization and data processing.

Skills

Software development

ML experience

ML infrastructure

Speech/Audio & RL basics

Education

Bachelor’s degree or equivalent

Master’s or PhD in CS or related field

Job description

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.