Minimum qualifications:

　　Bachelor's degree or equivalent practical experience.

　　8 years of experience in software development, and with data structures/algorithms.

　　5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.

　　5 years of experience with machine learning algorithms or tools.

　　Preferred qualifications:

　　Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience.

　　3 years of experience in a technical leadership role leading project teams and setting technical direction.

　　3 years of experience working in a complex, matrixed organization involving cross-functional and/or cross-business projects.

　　Experience with computer vision and/or natural language processing.

　　Experience with Keras, JAX, PyTorch, and/or TensorFlow.

　　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.

　　Core Machine Learning is part of Google Cloud and responsible for driving machine learning excellence across all of Google. This product area is the center of gravity for ML across the company and leads efforts to make it easier to build ML into products.

　　The ML Frameworks and APIs team is responsible for creating the frameworks that millions of developers use to build their machine learning applications. Our mission is simple, be the toolbox that powers all applied machine learning workflows at Google and everywhere else too. Our team’s scope starts with the data and ends with a fully deployed model.

　　In this role, you will lead and collaborate with our team to further develop the future of ML frameworks at Google.

　　Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

　　The US base salary range for this full-time position is $185,000-$283,000 + 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 (https://careers.google.com/benefits/) .

　　Help position Google’s investment in line with a multi-framework, multi-environment world.

　　Drive the development of new features and Application Programming Interfaces (APIs) to enable better applied machine learning workflows in computer vision and natural language processing, bring the latest state-of-the-art Large Language Models (LLMs) and computer vision models into our ecosystem.

　　Collaborate with Google product teams, as well as key external users, to better understand their needs and help to onboard them, partner with leadership to identify industry opportunities and develop strategies for high-level APIs.

　　Create onboarding material and tutorials that will be read by external developers.

　　Read the latest scientific papers in computer vision and Natural Language Processing (NLP) to make sure our APIs reflect state-of-the-art best practices.

　　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/OFCCPEEOPost.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.