Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
- 2 years of experience with testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with machine learning algorithms and tools, building production quality Machine Learning (ML) systems and infrastructure.
- 1 year of experience with software design, architecture, and Machine Learning.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in applying adversarial ML research.
- Experience in conducting Red Team exercises.
- Experience with a wide variety of machine learning technologies and applications, spanning audio, video, and text.
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.
In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities
- Plan, lead, and execute realistic ML Red Team exercises where you step into the role of an attacker aiming ML deployments in our products.
- 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 audiences, ranging from highly technical engineers and non-technical subject matter experts to executive leadership.
- Collaborate with product teams to support them identify and implement mitigations against successful attacks on ML deployments.
- Work self-driven to develop the processes and infrastructure to execute ML Red Team exercises.