Google Looking For Staff Software Engineer, Machine Learning Infrastructure at New York, NY Full Time

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Mountain View, CA, USA; New York, NY, USA.

Remote location(s): California, 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 Python, natural language processing, and Machine Learning algorithms.

Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing.

3 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.

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.

The mission of the Brain Applied Research (BAR) team is to generate growth in ML research and applications to transform product solutions and improve people’s lives.

The team collaborates with product areas across the organization to deliver research and product impact. We work on products like Google Translate, Speech Recognition, and more.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field – we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

Build reliable infrastructure for Machine Learning (ML).

Manage open-source software that is hosted on GitHub.

Operate across Google internal systems as well as Google Cloud Platform (GCP).

Research and prototype ML models and infrastructure, work with product teams to deploy what we build, and publish and/or report prototype results and experiments.

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.