Senior Staff Software Engineer, ML Data Quality Infrastructure
at Alphabet
Posted 4 hours ago
No clicks
- Compensation
- $248,000 – $349,000 USD
- City
- Mountain View
- Country
- United States
Currency: $ (USD)
Lead the development of ML data quality infrastructure and tooling to improve model iteration, evaluation, and data processing across GenAI and production ML systems. Build and optimize infrastructure for data quality signals, autoraters, and supporting tooling for prompting, large-scale inference, visualization, and evaluation, while performing IC work. Collaborate with partner model-quality teams in CloudAI and AI-data and drive model capability improvements through data, addressing GenAI challenges. Part of Google's AI-data organization focused on building scalable AI data systems for responsible AI model development.
Senior Staff Software Engineer, ML Data Quality Infrastructure
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 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 design and architecture, and testing/launching software products.
Preferred qualifications:
- Experience in ideation of technology and passion for development and the use of cross-platform shared code.
- Understanding of ML Systems and Infrastructure for production with knowledge to engage with customers and engineers.
- Understanding of GenAI model development workflows for post-training and product fine-tuning, including multimodal and generative media.
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.
AI-data organization’s mission is to build AI data systems that drive the responsible development of the best AI models and products in the world.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $248,000-$349,000 + 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
- Build and enhance AI-data infrastructure for improving model iteration for all use-cases, while performing Individual Contributor (IC) work.
- Address challenges in model iteration workflows such as data sourcing, data sampling, evaluation automation, loss analysis.
- Build and optimize infrastructure for developing and deploying data quality signals and autoraters, including tools for prompting, large-scale inference, visualization, and evaluation.
- Address the technical challenges of the evolving field of Generative AI (GenAI), working to create solutions.
- Interact with the partner model-quality teams in CloudAI teams. Work with various partner teams in AI-data and customer teams (Google products). Drive GenAI models through focus on model capability improvements from data.
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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.
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