Principal Engineer, Health

About the job

As the Principal Engineer for Health you will drive and execute the technical strategy for Google Search's critical Health engineering space. This is essential to Google not only because Health is now a Google-level OKR, but also because it directly and critically impacts user trust, safety, and the long-term continued utility of Search in the high-stakes health information domain. In this role, you will need to build a strong, small core Health team within Search (spanning roughly 10+ people), but work across a horizontal engineering group across Search and the company. You will contribute to the long-term strategy for Search, influence DeepMind, and be accountable for the strategic direction, cost, methods, and overall performance of the Health engineering organization.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $307,000-$427,000 + 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

• Be responsible for Health core quality (response quality in AIO/AIM, factuality, helpfulness, structure, etc.).
• Be responsible for Health and Connected Apps/Google Health integration.
• Be responsible for Health and Operations Research (OR) collaboration to upstream core headroom.
• Be responsible for Health experience in AIO/AIM.

Qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.
• 15 years of experience in software development and with data structures and algorithms.
• 10 years of experience with ML/AI algorithms and tools, deep learning or other AI/ML modeling.

Preferred Qualifications

• PhD in Computer Science, Statistics, or related fields.
• Experience in LLM related model fine tuning, large language models building or product enablement exploration.
• Experience in successfully applying machine learning approaches to real-world personalization problems.
• Experience with deep learning frameworks such as TFX or TFlex.
• Strong mathematical skills with knowledge of statistical methods.
• Excellent communication and teamwork skills including the ability to influence without authority, working on and with technical and cross-functional or highly matrixed teams who do not report into this role to get things done.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .