Technical Lead, Machine Learning, Google Cloud

vor 2 Wochen

Munich, Deutschland Google Vollzeit

A person with disabilities will be given preferential consideration per local regulations.

**Minimum qualifications**:

- Bachelor's degree in Computer Science or equivalent practical experience.
- Typically 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- Experience with system design and software development in C, C++ or RUST.

**Preferred qualifications**:

- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Experience with machine learning technologies (e.g. Tensorflow), developing and/or training models, or implementing solutions that evoke such models.
- Background in compilers, computer architecture, distributed systems, or related fields.

**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.

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**:

- Measure and report the efficiency of the ML fleet, generate and collect metrics that help identify optimization opportunities, and drive improvements via changes to Core ML products and services.
- Measure and report the fleetwide adoption of Core ML products and services.
- Collect metrics to inform the ML software/hardware roadmap.
- Provide data driven actional feedback to ML job owners, product area resource planners, and Fleet resource planners.
- Engage with partner teams across the Core ML organization and key product areas. Work with PM, TPM and ML experts, as well as other SWEs, to understand ML telemetry needs, define and develop ML telemetry, and make them accessible to those working on ML metrics.

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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