Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience in a technical leadership role, overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Computer Science or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
About the job
Like Google’s own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started – and as a manager, you guide the way.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology’s greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
Responsibilities
- Build an Assistant Natural Language Processing (NLP) team focused on driving up Internationalization NLP model improvements and quality. Shape the future of Assistant NLP in Internationalization languages.
- Formulate, tune, improve Natural Language Understanding (NLU) models for parsing and retrieval of Internationalization locales, leveraging and optimizing state-of-the-art models and deploying them at production scale.
- Address data needs and tooling to support data-driven quality improvement, annotations, operational scaling and simplification such as data generation/extraction, automated PII redactions, and headroom analysis and triaging tools.
- Identify and execute opportunities and vertical specific quality improvements in understanding and meeting user needs.
- Collaborate closely with the broader Assistant NLP and other parts of the Assistant organization.
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
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