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Skills
- Advertising Creativeunmatched
- Algorithmsunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Natural Languageunmatched
- Best Practicesunmatched
- Business Growthunmatched
- C++ Programming Languageunmatched
- Computer Scienceunmatched
- Data Processingunmatched
- Data Storageunmatched
- Data Structuresunmatched
- Deep Learningunmatched
- Distributed Computingunmatched
- Equal Employment Opportunity (EEO)unmatched
- Information Retrievalunmatched
- Information/Data Security (InfoSec)unmatched
- Internet Searchunmatched
- JAX (Java API for XML)unmatched
- Javaunmatched
- Large-Scale Systemsunmatched
- Leadershipunmatched
- Machine Learningunmatched
- Mentoringunmatched
- Natural Language Processing (NLP)unmatched
- Network Designunmatched
- Online Advertisingunmatched
- Performance Analysisunmatched
- Performance Metricsunmatched
- Product/Service Launchunmatched
- Programming Languagesunmatched
- Python Programming/Scripting Languageunmatched
- Reinforcement Learningunmatched
- Scalable System Developmentunmatched
- Software Architectureunmatched
- Software Architecture Designunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- Technical Strategyunmatched
- Testingunmatched
- User Interface Designunmatched
Description
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development using one or more general-purpose programming languages (e.g., Python, Java, C++, Go).
- 3 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience with ML frameworks (e.g., TensorFlow, JAX) and production ML platforms (e.g., TFX, AdBrain).
- Experience with large-scale data processing and distributed systems, and with data structures and algorithms.
- Experience with generative models and their applications.
- Experience working with and mentoring junior engineers.
- Familiarity with online advertising systems, creative optimization, personalization, or recommender systems.
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 Senior Software Engineer in Creative Composition Intelligence, you will be driving the design, development, and productionization of advanced Machine Learning models for optimizing Ad creative composition and delivery. You will lead efforts to accelerate innovation in how we automatically construct and select the best creative elements for any given context.
In this role, you will take on new, ambiguous problems at the intersection of GenAI, ML, large-scale distributed systems, and Ad product needs. You will be expected to set technical direction, influence across teams, and mentor other engineers, as well as in creating and delivering impactful systems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefitsLearn more about benefits at Google.Responsibilities
- Lead end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative AI, from concept to production.
- Define the technical strategy and roadmap for key ML components, ensuring alignment with product goals and driving measurable impact through experimentation.
- Build and integrate scalable ML pipelines and services, collaborating with infrastructure and serving teams to power creative optimization.
- Analyze performance metrics, deriving insights, and implementing algorithmic improvements for creative selection, freshness, and exploration.
- Mentor engineers and promote best practices in applied machine learning and system design.
Numbers & Facts
| Location | Mountain View, 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.