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Google Hiring for Staff Software Engineer, Infrastructure, Machine Learning Experimentation at New York, NY Full Time
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, 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
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science or other technical related field, or equivalent practical experience
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture
- 3 years of experience in a technical leadership role leading project teams and setting technical direction
- 3 years of experience working in a complex organization involving cross-functional, and/or cross-business projects
- Experience with machine learning algorithms and tools (e.g., TensorFlow or PyTorch), artificial intelligence, or deep 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.
This team develops and supports a service for ML Experimentation that is deeply embedded in Google’s machine learning infrastructure. We’re a pillar component in the workflow of most ML researchers at Google, and are expanding our support of teams who bring ML from research to production.
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.
Responsibilities
- Support reliability, scalability, and integrations with partner teams and the wider ML infrastructure ecosystem.
- Set technical direction and priorities for the development of machine learning infrastructure.
- Lead and grow a small team of engineers, enabling career growth and establishing expectations and stretch opportunities for each team member.
- Collaborate with other ML infrastructure teams in Core ML and other parts of Google to build a well-integrated and robust infrastructure for ML experimentation.
- Set and foster an inclusive team culture.
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.
