Software Engineer, On-Device Machine Learning
Job Summary
Job Description
- 5+ years software development experience
- Experience with C, C++, Java, or Python
- 3+ years software product testing/launching
- On-device ML model development
- Software design and architecture experience
- Generative AI experience
- LLM experience
- Computer Vision experience
- Text-to-Speech/Speech Recognition experience
- Bonus
- Equity
- Benefits
8 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Experience with Generative AI, Large Language Model (LLM), On-Device Machine Learning, Computer Vision, Text-to-Speech, and Speech Recognition.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
As a Software Engineer, you will join a team to develop cross-platform on-device machine learning models and solutions and deliver differentiated experiences and product features in YouTube, Google Meet, Shopping, Photos, Android, Chrome, Pixel, and beyond.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.Responsibilities
- Design and develop generative Artificial Intelligence capabilities and experiences for multiple media formats including language, photo, audio, camera, and video.
- Product generative AI models and algorithms, and drive business critical use cases in high impact products.
- Work with product teams and research teams to define requirements with stakeholders.
- Optimize experiences to ship at Google scale across all mobile devices with various hardware capabilities.
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