Machine Learning Opportunities - Join Our Team!

Hi, I'm Alec Go, a hiring manager at Google. We're hiring Machine Learning (ML) and Research Scientists!

What We Do:

Our team is focused on developing and optimizing cutting-edge machine learning (ML) systems, with a particular emphasis on on-device Large Language Models (LLMs). We are actively hiring across five key areas:

1. Hybrid LLM Systems:
   We design and build systems that combine the strengths of both on-device and server-side LLMs to create powerful and efficient solutions.

2. Evaluations:
   We rigorously evaluate the performance and capabilities of on-device LLMs across a variety of use cases, focusing on key platforms like Android, Chrome, and Pixel.

3. In-context Learning:
   We conduct fundamental research into innovative techniques like in-context learning as potential alternatives to traditional fine-tuning methods.

4. Ambient ML:
   We are dedicated to designing ML systems that operate seamlessly on always-on, low-power devices. This research focuses on enabling continuous and context-aware ML experiences.

5. AI for Power Management:
   We explore cutting-edge approaches to leverage AI for optimizing power management strategies, with the goal of improving device battery life and overall energy efficiency.

Ideal Candidate Profile:

We are looking for individuals with:

• Strong expertise in machine learning or a related field.

• A proven track record of research and development in relevant areas.

• Excellent problem-solving and analytical skills.

• A collaborative and team-oriented mindset.

• A passion for pushing the boundaries of on-device AI.

Location:

Mountain View, CA is the preferred location for these roles.

If you are a highly motivated individual eager to contribute to the future of on-device AI, we encourage you to apply!

Please email ml-careers+ad@google.com with your resume if interested.