QualificationsSystem designNatural language processingTensorFlowDistributed systemsMachine learningDoctoral degreeBachelor’s degreeMaster’s degreeDoctor of Philosophy
Bachelor’s degree or equivalent practical experience
8 years of experience in software development and with data structures/algorithms
5 years of experience with design and architecture; and testing/launching software products
2 years of experience in management and working cross-organizationally to achieve team goals
Master’s degree or PhD in Engineering, Computer Science, or a related technical field
7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing
5 years of experience in a technical leadership role leading project teams and setting technical direction
3 years of experience working in a complex, matrixed organization involving cross-functional and/or cross-business projects
Experience with system design at scale or with designing a complex service nearly from scratch
Familiarity with machine learning
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.
Our team is focused on how to optimize the service for launch velocity and improved economy. We want to make the user journey seamless for modelers and allow users to get the most out of the machine learning (ML) systems in our data centers. In this role, you’ll work strategically to tie together the evolving mission for Core ML with other infrastructure efforts throughout the ML space. Goals will be met by working with others. As a leader on the team, you will work effectively with partner teams across Google.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Evolve, lead, and mentor a technical team to deliver machine learning infrastructure solutions that can scale and also successfully influence those not directly in your charge.
Strive to understand our users and seek to build lasting optimizations and systems that are easy to use, quick to iterate, and low cost.
Collaborate cross-functionally and partner closely with your team to develop a thoughtful roadmap, design systems, and execute implementation in concert with a large number of business areas to deliver value.
Develop a technical foundation within ML infrastructure that hides implementation from users, while giving them the flexibility they require to serve and train.
Speed up the user experience (velocity) and ensure we can capitalize on the ML fleet as efficiently as possible (economy).
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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.