Senior Software Engineer, Machine Learning, Web AI Platform

San Francisco 1 days agoFull-time External
2.3k - 3.5k / yr
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA.Minimum qualifications: Bachelor’s degree in Computer Science or equivalent practical experience.5 years of experience developing in C++ or Python.5 years of experience in software development using one or more programming languages.3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field.5 years of experience with data structures and algorithms, with 1 year of experience in a technical leadership role.Experience running AI inference on-device.Experience in ML performance, systems data analysis, ML debugging, LLMs, or specialized areas within ML. 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. As a Senior Software Engineer, you will play a key role in advancing the AI computing capabilities of the Web Platform. You will contribute to expanding the quality of the AI models and by default, the AI APIs we deliver to users. You will work on AI advancements, collaborating with many cross-functional partners and experts to deliver high-impact solutions. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security. 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 Work in C++ in our Chrome and Chromium codebase.Improve the on-device performance of Gemini Nano.Develop new debugging tools in DevTools to support the built-In AI APIs.Develop new built-In AI JavaScript APIs and write API specifications.Integrate new LLM models and LLM fine tuning to improve model performance. 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 .