Software Engineer, Applied AI, Model Quality

Google LLC; New York (NY); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google LLC, based in New York, NY, is seeking a Software Engineer for Applied AI focusing on Model Quality. You will build automated evaluation systems, define metrics, and collaborate with research and cross-functional teams to improve model quality. In-person interviews are typical for this role.

The role sits within Google Pics and AI-powered workflows across Workspace, requiring experience in ML design and deployment. Equity and comprehensive benefits are included.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

• Build evaluation systems for model performance (grounding, coherence, safety, helpfulness).
• Establish clear metrics for model evaluation and quality.
• Run evaluations across models/datasets using platforms and tools.
• Provide actionable insights to improve model quality in collaboration with research and cross-functional teams.
• Create tools to make evaluation processes more efficient.

Skills

5 years of software development

1 year software design & architecture

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

PhD in Computer Science

Job description

Software Engineer, Applied AI, Model Quality

Google New York, NY, USA

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

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 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 with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

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.

As a part of Google Pics, an AI-powered visual editor integrated across Google Workspace to bring Generative AI photo and design capabilities directly onto the canvas. In this role, you will work with the image-understanding capabilities of GemPix and Gemini to empower users to edit, transform, and generate images across all Workspace surfaces. You will be executing against a product roadmap, building on limited testing and consumer experiments. You will join a team that requires executing against a roadmap of model capabilities. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

• Build both human-powered and Large Language Model (LLM)-powered automated evaluation systems to assess model performance.
• Establish clear metrics to measure aspects like grounding, coherence, safety, and helpfulness.
• Utilize platforms and tools to efficiently run evaluations across different models and datasets.
• Provide actionable insights from evaluations to improve model quality, often in collaboration with research, and cross-functional teams.
• Create tools and systems that make the evaluation process more efficient and effective.

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 .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.