Job Information
Google Software Engineer, Adversarial Machine Learning, Core in Munich, Germany
A person with disabilities will be given preferential consideration per local regulations.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
Candidates will typically have 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Typically have 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.
Experience with vulnerability testing.
Experience in applying adversarial Machine Learning research.
Experience with a wide variety of machine learning technologies and applications, spanning audio, video, and text.
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 Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Work self-driven to develop the processes and infrastructure to execute the team's exercises.
Plan, lead, and execute realistic team exercises where you step into the role of an attacker targeting Machine Learning deployments in our products.
Design and build tools and infrastructure to support our exercises.
Design controls and improvements to sharpen our capabilities to defend against attackers in close cooperation with the teams responsible for implementing them.
Document and present results to a variety of target audiences, ranging from highly technical engineers over non-technical subject matter experts to leadership.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.