Staff Software Developer, AI/ML, Safety and Security

Google LLC

CA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Cloud Applications, Cloud Computing, Computer Science, Computer Vision, Construction, Cross-Functional, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, English Language, Equal Employment Opportunity (EEO), Genetics, Google Apps, Information Retrieval, Information/Data Security (InfoSec), Injections, Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Matrix Management, Modeling Languages, Natural Language Processing (NLP), Network Design, Network Operations Center, Operations Management, Operations Security (OPSEC), Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Software Development, Software Engineering, Stock Purchase Plans, Team Lead/Manager, Technical Leadership, Technical Support, Test Plan/Schedule, User Documentation, User Interface Design
LOCATION
CA
POSTED
29 days ago

Staff Software Developer, AI/ML, Safety and Security - Google Careers

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Staff Software Developer, AI/ML, Safety and Security

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corporate_fareGoogleplaceWaterloo, ON, Canada; New York, NY, USA; +2 more; +1 more

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XThis posting is for an existing vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; New York, NY, USA; Sunnyvale, CA, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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, you will be working as part of the GAWSS (GenAI Workspace Safety and Security) team that is responsible for building out and setting up mitigations. You will lead the team of developers on multiple critical AI/ML projects, including building LLM-based safety and security auto-raters, multiple critical classifiers to detect prompt injection attacks, and live traffic observability solutions for safety and security. You will collaborate with Google DeepMind (GDM) on new research-based defense techniques, and with other Product teams in Google to share and improve existing defences. You will also work closely with first-party teams across Workspace (Gmail, Chat, Drive, Meet, Calendar, etc) to ensure their AI features are protected.

AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $216000 - $222000 (CAD) + 20% bonus target + equity + benefits.

Learn more about benefits at Google.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Canada: $216000 - $222000 (CAD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
  • Lead the development of the flagship Prompt Injection classifier.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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