The application window will be open until at least July 17th, 2025. This opportunity will remain online based on business needs which may be before or after the specified date. Minimum qualifications: + Bachelor's degree or equivalent practical experience. + 5 years of experience with data structures/algorithms and 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 with Large Language Models such as prompt engineering, applications for ML, evaluations, and post-training. Preferred qualifications: + Master's degree or PhD in Computer Science or related technical field. + Experience with building agentic flows with LLMs. + Experience partnering with research engineers, research scientists and product managers. + Experience in Python with machine learning libraries and frameworks. + Experience in machine learning research and strong publication record. + Understanding of ML fundamentals, pipelines and model requirements. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At Google Labs, we discover and deliver transformative AI products that advance Google's mission. We take on ambitious ideas in a collaborative and supportive environment, driving long-term impact to the company through groundbreaking technology and innovative products. Our team exists to revolutionize how software is designed, developed, and maintained. Our mission is to amplify developer productivity, improve software quality, and make software creation accessible to everyone through AI-powered tools. In this role, you wil help shape the future of software development by building and launching AI solutions.Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes. 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 (https://careers.google.com/benefits/) . + Write and test product or system development code. + Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. + Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). + Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. + Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.