Applied ML Engineer for AICore

1 Month ago • 5-8 Years • Artificial Intelligence

Job Summary

Job Description

As an Applied ML Engineer for AICore at Google, you'll partner with DeepMind and CoreML AI experts to launch Gemini on Android, impacting billions of users. You will design and develop innovative generative features for mobile interaction, creating intuitive and engaging experiences. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing software solutions for Android. You'll optimize models for peak performance and ensure seamless AI experiences. This role requires managing project priorities, deadlines, and deliverables, focusing on deploying generative models and driving adoption of AI features at scale. You will contribute to creating intelligent solutions for billions of Android users, enhancing essential mobile functions.
Must have:
  • Bachelor's degree or equivalent experience
  • 5+ years software development experience
  • 3+ years software product development
  • Experience with ML model training, data processing, and evaluation
  • Experience with ML frameworks (PyTorch, Jax, TensorFlow)
Good to have:
  • Master's or PhD in CS or related field
  • 1+ year technical leadership experience

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.
  • 3 years of experience in developing software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience with Machine Learning models (e.g., DNN, LLM, etc.) training, data processing, and evaluation.
  • 1 year of experience in a technical leadership role.
  • Experience with Machine Learning framework (e.g., PyTorch, Jax, TensorFlow).

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 manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

  • Partner with DeepMind and CoreML AI experts to launch Gemini on Android. Your work will directly shape how billions experience AI on their devices.
  • Design revolutionary generative features that redefine mobile interaction. Create intuitive, engaging experiences that set new industry standards.
  • Create intelligent solutions for billions of Android users. Your expertise will empower global users with accessible technology.
  • Deploy generative models powering the core of Android. Drive adoption of AI features that enhance essential mobile functions at scale.
  • Guarantee peak performance and user delight through model optimization. Ensure seamless, reliable AI experiences that exceed user expectations.

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