Software Engineer

• Develop Large Language Model (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).
• Work within Google3 (primarily in Python) 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 and various tools to improve outputs.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with data structures or algorithms.
• 2 years of experience with python software development, or 1 year of experience with an advanced degree.
• 1 year of experience with AI/ML and LLM.

Preferred qualifications:

• Experience in working with internal libraries for LLMs (e.g. OneTwo).
• Understanding of LLMs/AI Prompt engineering.
• Understanding of health and wellness and how devices can help users further their goals.
• Ability to resolve problems cross-functionally in a fluid and collaborative environment.
• Excellent communication skills.

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.

The Platforms and Devices Health Intelligence team is an interdisciplinary group of engineers and researchers focused on developing new technologies to help people understand and improve their health. In service of that mission, our team is on the forefront of developing, evaluating, and iterating on Artificial Intelligence (AI) agents and coaching experiences to help users understand their health and wellness data, and provide insights and coaching to help them live their healthiest life.

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.

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.

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with data structures or algorithms.
• 2 years of experience with python software development, or 1 year of experience with an advanced degree.
• 1 year of experience with AI/ML and LLM.