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Machine Learning Engineer Manager Vertex AI Search
1 miesiąc temu
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent industry experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Preferred qualifications:
- Experience in scoping and leading projects, coordinating execution, and managing timelines.
- Experience in working with two or more from the following: machine learning, search, assistant, ranking and recommendation, search quality, natural language processing, and data classification.
- Ability to change specifications or standards, and helps the team navigate ambiguity.
- Interest in problem solving, commitment to engineering excellence, and desire to make the world a better place with ML and technologies.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering 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 Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. 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.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Build retrieval/ranking models.
- Build models to combine signals.
- Manage LLM tuning to improve model performance.
- Develop and collaborate with numerous research partner teams to bring the models to our customers.
- Drive OKR planning and projects, coordinate with teams, support team members growth, and provide customer support.
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.
