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Minimum qualifications:

+ Bachelor’s degree or equivalent practical experience.

+ 5 years of experience with software development in C++, or 1 year of experience with an advanced degree in an industry setting.

+ 4 years of experience with Machine Learning Infrastructure (e.g., GPU, cloud TPU), or deep learning frameworks (e.g., TensorFlow, PyTorch, JAX), algorithms and tools (e.g., Kubeflow, Ray.io, MLflow).

+ 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

+ 3 years of experience in industry or academic research.

+ Experience leading, partnering and influencing cross-functionally or among peers.

Preferred qualifications:

+ Master's degree or PhD in Computer Science or related technical fields.

+ Experience with privacy principles and relative technologies (sensitive data handling, user data protection, privacy by design, gap analysis, Data Loss Prevention (DLP), anonymization).

+ Experience developing or training models using machine learning technologies (e.g. Tensorflow, Keras, PyTorch).

+ Experience developing accessible technologies.

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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $166,000-$244,000 + 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 (https://careers.google.com/benefits/) .

+ Research, design and productionize new ways to train audience models while protecting individual user’s data privacy. Drive infrastructure platform development as well as pilot model developments.

+ Assist machine learning (ML) engineers in selecting appropriate training and serving solutions based on project requirements, performance benchmarks, and resource constraints.

+ Provide access to the latest model training frameworks like TensorFlow 2.x, PyTorch Lightning, and JAX.

+ Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model and data processing.

+ Ensure integration of models into existing systems, addressing compatibility and interoperability challenges.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.