Google Looking For Staff Software Engineer, Machine Learning Systems, Google Research at Mountain View, CA Full Time

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 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.

Experienced in programming custom hardwares (ML accelerators like GPUs).

About the job

Brain Applied Research (BAR) works on a wide range of deep learning applications collaborating with product areas across Alphabet (e.g., Search, YouTube, Google Cloud, Waymo). Many practical and theoretical challenges arise naturally in these collaborations. The team works on advanced solutions of these challenges across the stack, including algorithm designs, data analysis, and infrastructure system implementations.

In this role, you will build a Machine Learning inference engine on Google’s most advanced technology, both software and hardware. The engine will serve the largest Machine Learning models we can build. The engine will be highly efficient and cost effective for the applications.

Responsibilities

Research and prototype ML models and infrastructure.

Work with other product areas and product teams to deploy what we build.

Publish and/or report prototype results and experiments.

Develop scalable serving solutions for large Deep Learning models.

Improve system efficiency of Deep Learning models for training.

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.