Staff Software Engineer, Agentic Data and Evals

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Alliance/Partner Management, Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Automation, C++ Programming Language, CSS (Cascading Style Sheet), Category Management, Cloud Computing, Computer Science, Construction, Consumer Loans, Cross-Functional, Customer/Client Research, Data Analysis, Data Quality, Data Science, Data Sets, Data Storage, Data Structures, Distributed Computing, Engineering Management, English Language, Equal Employment Opportunity (EEO), Field Sales, Finance, Financial Services, Genetics, Go Programming Language (Golang), Government, HTML (HyperText Markup Language), Healthcare, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Java, JavaScript, Large-Scale Systems, Leadership, Modeling Languages, Natural Language Processing (NLP), Network Design, Network Operations Center, Polish Language, Product Development, Product/Service Launch, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Software Administration, Software Design, Software Development, Software Engineering, Supply Chain, Team Lead/Manager, Technical Leadership, Technical Support, Test Plan/Schedule, Testing, Time Management, Use Cases, User Interface Design, User Interface/Experience (UI/UX), Vendor/Supplier Planning
LOCATION
Sunnyvale, CA
POSTED
30+ days ago

Staff Software Engineer, Agentic Data and Evals - Google Careers

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Staff Software Engineer, Agentic Data and Evals

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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, design, and architecture.

  • 5 years of experience testing, and launching software products.

  • 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

  • 3 years of experience working in an organization involving cross-functional, or cross-business projects.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures and algorithms.

  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.

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.

The AI Data Generation team charter is generating GenAI data and evaluations for Google. Our team has been instrumental in performing Large Language Model (LLM)/GenAI model evaluations and model fine-tuning (e.g., using RLHF techniques).

DataGen is our evolving self-service data generation platform that enables a typical AI product developer to produce verifiable high-quality data-sets through automation of workflows, with integrations into pre-training, post-training and evaluations infrastructure.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Deliver and launch tools/solutions to collect, verify and deliver data/evaluations for a variety of GenAI use cases, including evaluation and improvement of Generative AI models and launches.
  • Learn novel GenAI use cases to learn their data needs and identifying solutions leveraging the AI Data Platform.
  • Work cross-functionally with Data Science, Product, User Experience/User Experience Research (UX/UXR) and Operations teams.
  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Manage project priorities, deadlines, and deliverables.

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.

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