Software Engineer, Evaluations and Data for Intelligence Team

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• Experience using Python libraries and frameworks, especially with ML/AI/Data focus.
• Experience with Natural Language Processing, Machine Learning or Generative AI.
• Experience in data/statistics, leading AI-driven insights and metrics.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms in a data ML-focused role.
• Experience with scaled batch processing.
• Experience with evals for Generative AI systems.

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.

Evaluations and Data are the foundations of all AI development. Across Home product lines, there have been an increase in investment of AI features and with it comes added demands for evals and data. EDIT - Scaling team provides the essential scaling solutions that make these foundational processes feasible from a time and resourcing standpoint. You and the team will leverage the state-of-the-art LLM-based modeling approaches to massively accelerate and scale solutions beyond traditionally manual human judgment/labeling tasks. Your solutions will empower feature developers and product managers to efficiently measure product behaviors and improve quality targets for the next generation of Home Intelligence features.

• The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team
• researches, designs, and develops new technologies and hardware to make
• users’ homes more helpful. Our mission is the helpful home: to create a
• home that cares for the people inside it and the world around it.

The US base salary range for this full-time position is $166,000-$244,000 + 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.The US base salary range for this full-time position is $166,000-$244,000 + 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

• Lead the work on Generative AI-driven actionable insights, metrics, dashboards, surfacing quality improvement signals.
• Contribute to development of LLM-based automation of human labeling and decision-making tasks via Auto-raters.
• Partner with Home platform teams developing various AI-driven smart home experiences to provide tailored eval solutions.
• Work on extending cutting-edge AI eval frameworks and tooling to help deliver state-of-the-art smart home experiences.