Senior Software Engineer, Scaling On-Device ML Frameworks (google)

Qualifications

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.
  
• 3 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.
  
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Preferred qualifications:

• Experience with machine learning infrastructure, mobile app development, integration testing.
  
• Experience with frameworks such as JAX and PyTorch.
  
• Experience with full-stack Android, iOS, and web development.
  
• Experience in on-device machine learning deployment in any domain: vision, speech, text, etc.
  
• Proven track record of advocating product and engineering excellence.
  

Summary

• 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.
  
  View Orignal JOB on: italents.net
• 3 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.
  
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  

Description

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

On-device ML, especially with the rise of Gen AI, is central to Google's product portfolio. The most unique experiences on Pixel and Android today are already powered by on device ML - Speech Recognition, Camera, and Assistant/Translation. As we embark on a future with Gen AI experiences personalized on your device, our team is building the core capabilities powering it.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Sample apps demonstrating best-practices including hardware accelerations, quantization, debugging, and optimizing performance and quality.
  
• Be able to on-board SOTA models to provide excellent self-serve out-of-the-box experience for users.
  
• Build and maintain infrastructure to enable model evaluation and performance monitoring at scale.
  
• Scale partnerships with Android Apps and Google Cloud Customers, and drive improvements in the overall stack based on real customer needs.
  
• Define and implement automated processes and infrastructure to test APIs and user-journeys across diverse platforms and advocate product excellence.