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Software Engineer, AI/ML, Health and Safety Intelligence

GoogleMountain View, CA, USA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.

Preferred qualifications:

  • Experience with on-device development (Android, Kotlin) and working further up the stack.
  • Understanding of LLMs / supporting systems to support research efforts in the health space.
  • Strong communication skills to distill problems cross-functionally in a fast-paced and collaborative environment.
  • 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.

In this role, you will be working alongside other Software Engineers and Research Scientists to prototype, experiment, and enable new AI experiences that we can then rapidly ship to internal testers and iterate quickly on. You will create infrastructure that can make this iteration easier, including enabling automatic evaluation where possible and developing extensible software modules that can aid the entire team move faster. Knowledge of AI/ML is key to working with research scientists and ensuring that we have the proper working model to accelerate the development of these agents. 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 Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.

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 our on-device strategy (e.g., LLM, ML sensing, Live) for Platforms and Devices (P&D's) health agent.
  • Build interface to new 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.
  • Work to quickly 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, next-gen on-device models, and various tools to improve outputs.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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