Careers
Careers

job details

Back to jobs search

Jobs search results

2,764 jobs matched
Back to jobs search

Staff Software Engineer, AI Data Generation

GoogleMountain View, CA, USA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • Experience in cross-functional collaboration and working across boundaries.
  • Experience working with Java.

Preferred qualifications:

  • Ability to work closely with UXR as part of rapid Critical User Journey (CUJ) iterations.
  • Excellent communication skills.
  • Passionate about building products to boost productivity for other engineers.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

AI Data Generation Team's charter is to generate GenAI data and evals for Google. Our team has been instrumental in performing LLM/GenAI model evaluations and model fine-tuning (e.g., using RLHF techniques).

Crowd Compute is a large-scale general purpose platform that collects upwards of five million human answers a day on behalf of teams across Alphabet, including Cloud, Shopping/Commerce, Geo, Medical/Health, Research, NBU, YouTube, Waymo and X.

Data Generation is our evolving self-service data generation platform that enables a typical AI product developer to produce verifiable high-quality data-sets through automatable workflows with deep integrations into pre-training, post-training and evaluations infrastructure.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $197,000-$291,000 + 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

  • Be responsible for technical leadership and startegic development of the AI Data's first-party data solutions (Central Review Committee and DataGeneration).
  • Deliver and launch tools/solutions to collect, verify and deliver data/evals for a variety of GenAI use cases, including evaluation and improvement of Generative AI models and launches.
  • Learn novel GenAI use cases to learn in depth their data needs and identify solutions leveraging the AI Data Platform.
  • Work cross-functionally with Data Science, Product, UX/UXR and Operations teams.

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.
Google apps
Main menu