Minimum qualifications:

　　Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Preferred qualifications: Experience working with the latest large language models.

　　Familiarity with academic research in AI, machine learning, and published papers.

　　Familiarity with social science academic research on subfields related to online discourse including conflict transformation, social norms, and polarization.

　　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.

　　We are evolving beyond identifying toxicity towards holistically supporting healthier online discourse by bridging diverse perspectives and fostering community connection. The team will work with content-based bridging algorithms to capture and predict "diverse appeal" based on content of a conversation and explore how to incorporate more traditional forms of bridging to a variety of online spaces.

　　In this role, you will bridge engineering and social science research, proficient enough in each to support the development of models with the Perspective team, work with Jigsaw's social science team to conduct research that advances the field of bridging algorithms, and understands their impact on people and conversations.

　　Jigsaw is a unit within Google that explores threats to open societies and builds technology that inspires scalable solutions. Our team addresses a range of global security issues. Jigsaw offers unique opportunities within the industry, mission-driven work within a team, strong connections to academia and civil society, and a quick path to making technology public. The Conversation-AI team's goal is to protect voices in online conversation. We design and build innovative user experiences to explore how our models can help humans have better conversations. We also publish original research to advance the state-of-the-art in using ML to support good online discussion.

　　The US base salary range for this full-time position is $157,000-$235,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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

　　Build on the latest LLM technology to enable new Perspective API features and improvements, such as developing new bridging-focused models. Work across the ML development lifecycle including leading data annotation processes, training models, evaluating, measuring and mitigating for bias, and meeting production latency and serving requirements. Conduct independent research that is useful for society and Google, such as being integrated as part of a deployed product or service, resulting in co-authorship of a paper or patent. Iterate on experimental approaches that apply mixed methods from computational and social sciences, in order to conduct and scale studies in collaboration with Google researchers, designers, engineers, and product managers. Communicate research findings to diverse audiences.