Staff Software Engineer, Vertex GenAI Evaluation Service

Staff Software Engineer, Vertex GenAI Evaluation Service - Google Careers

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Staff Software Engineer, Vertex GenAI Evaluation Service

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

• Bachelor"s degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience with LLM evaluation, machine learning algorithms and tools, and general generative AI development.
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience building and maintaining scalable production systems.
• Knowledge on enterprise control planes and security horizontals.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will be working with a team of engineers, machine learning experts, etc. in advancing artificial intelligence. The Cloud AI Quality Evaluation team defines success and builds evaluation and optimization harness for Cloud AI LLM products, establishes AutoEval metrics to track quality, and provides clear insights to guide development. We work closely with Google DeepMind Research teams to advance LLM evaluation and bring SOTA evaluation technology to Cloud. As a Staff Software Engineer on this team, you will be at the forefront of building solutions for the model and agent evaluation framework and optimization tools.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Operate as a technical expert and leader within the Cloud AI Quality Evaluation team.
• Drive high-quality, scalable evaluation frameworks and tools for GenAI developers and lead features to enable seamless developer experience in each stage of GenAI evaluation.
• Develop and implement strategies for evaluation solutions to measure model and agent quality performance at scale, design infrastructure and product features of the evaluation frameworks to evaluate advanced agent features.
• Collaborate with model and agent quality teams, develop scalable systems, and ensure our evaluation workflow is efficient and provides high quality user experience.
• Engage with customers, investigate and understand product usability gaps, customer pain points, and lead GenAI research.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

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.

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