Senior AI Engineer Jobot
San Francisco, CA5 days ago
- $225,000–$280,000 Per Year
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Skills
- Algorithmsunmatched
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Natural Languageunmatched
- Automationunmatched
- Autoscalingunmatched
- Cloud Computingunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Storageunmatched
- Database Extract Transform and Load (ETL)unmatched
- Debugging Skillsunmatched
- Disability Insuranceunmatched
- Distributed Computingunmatched
- Dockerunmatched
- Employee Benefitsunmatched
- Equal Employment Opportunity (EEO)unmatched
- Information Retrievalunmatched
- Information/Data Security (InfoSec)unmatched
- Internet Searchunmatched
- JAX (Java API for XML)unmatched
- Large-Scale Systemsunmatched
- Leadershipunmatched
- Life Insuranceunmatched
- Machine Learningunmatched
- Mentoringunmatched
- Microservicesunmatched
- Modeling Languagesunmatched
- Natural Language Processing (NLP)unmatched
- Network Designunmatched
- Privacy Controlsunmatched
- Problem Solving Skillsunmatched
- Product/Service Launchunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- Reinforcement Learningunmatched
- Riskunmatched
- SQL (Structured Query Language)unmatched
- Sales Pipelineunmatched
- Scalable System Developmentunmatched
- Server Programming/Applicationsunmatched
- Software Architectureunmatched
- Software Architecture Designunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- State Laws and Regulationsunmatched
- Technical Strategyunmatched
- Testingunmatched
- Time Trackingunmatched
- Training Data Setsunmatched
- User Interface Designunmatched
Description
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: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.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA.Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience testing, and launching software products.
- 5 years of experience with software design and architecture.
Preferred qualifications:
- 10 years of experience in software engineering roles.
- 5 years of experience in designing, building, and productionizing AI/ML systems, including experience with Large Language Models (LLMs) or AI agent development, and familiarity with common AI/ML libraries/frameworks (e.g., TensorFlow, PyTorch, JAX, scikit-learn, LangChain).
- Experience leading the architectural design and development of large-scale distributed systems, including experience with microservices architecture or containerization technologies (e.g., Docker, Kubernetes).
- Experience with server-side programming languages (e.g., Python, Go), advanced SQL, cloud platforms (e.g., Google Cloud Platform), and building/managing scalable data pipelines (ETL/ELT).
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.
As a part of this team, you will be at the forefront of transforming Governance, Risk, and Compliance (GRC) for Google Cloud and Technical Infrastructure (TI). You will build an intelligent, AI-powered platform to automate and scale critical GRC functions. Your mission is to engineer innovative solutions that leverage Artificial Intelligence and Machine Learning to provide continuous assurance, enforce privacy, streamline audits, enhance reporting, and power real-time Continuous Controls Monitoring (CCM), ultimately safeguarding Google's security and compliance posture.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Define and drive the technical strategy and architecture for a scalable platform supporting AI-driven Governance, Risk, and Compliance (GRC) functions, while owning the end-to-end design and implementation of significant platform components.
- Lead the development and implementation of novel AI/ML models and algorithms to automate and scale Continuous Controls Monitoring (CCM), privacy control enforcement, audit processes, risk reporting, and other GRC workflows, address ambiguous problems and making key design trade-offs.
- Oversee processes for assessing data signal quality, designing and leading the engineering of scalable data pipelines to ingest, process, and validate various datasets for training AI models.
- Build and disseminate a deep understanding of control objectives, scope, implementation, and the data signals required for effective, AI-enhanced monitoring and validation, while mentoring team members and influencing stakeholders on these aspects.
Numbers & Facts
| Location | Sunnyvale, CA |
| Industry | Computer Software |
| Company Size | 10,000 employees or more |
| Year Founded | 1998 |
| Website | https://goo.gle/4dbno6V |
Benefits
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
About Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.
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