Software Engineer, AI/ML, Health Intelligence

Mountain View, CA, USA; San Francisco, CA, USA

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Google

Google’s mission is to organize the world's information and make it universally accessible and useful.

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Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in Python programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:

  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • Familiarity working with internal Google libraries for LLMs.
  • Interest in health and wellness and how devices can help users further their goals.

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.

You will work alongside with a team to prototype, experiment, and enable new AI experiences that we can then rapidly ship. You will create infrastructure that enables automatic evaluation where possible and develop optimezed software modules. As part of the Health Intelligence organization, you will partner with product management, engineering, and many other cross-functional teams (clinical, privacy, security) to ensure we are rapidly iterating towards developing the best possible experience for our users.

The Health Platforms and Devices team builds innovative products and services that help our users live longer, healthier lives. We bring together the best of Google technologies and AI, health behavior science, and user-centered design to help users organize the health and wellness data, get insight from it, and take action toward their health goals. We do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Develop LLM/AI agent tasks in conjunction with research scientists, utilizing internal libraries (e.g. OneTwo).
  • Develop and maintain evaluation pipelines and methodologies for testing various qualities, such as accuracy (and tone/factuality in the case of LLMs).
  • Deliver agents into the testing environment and enable the larger team to interact with them.
  • Work with Research Scientists to understand current state-of-the-art methods for working with LLMs and various tools to improve outputs.
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Tags: Engineering Generative AI LLMs Machine Learning NLP Pipelines Privacy Python Research Security Testing

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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