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Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
Candidates will typically have 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
Typically 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience in AI/ML related engineering, developing, deploying, managing, and maintaining Machine Learning infrastructure.
Experience in Python and deep learning for computer vision and NLP.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
Understanding of data engineering practices and principles (e.g., tools, processes, pipelines etc.).
Excellent communication and collaboration skills.
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.
Our AI and Engineering teams work alongside our pedagogy team to surface high-quality, accurate content that reflects the clearest and most modern ways to explain and solve math problems.
Learning is the ongoing quest for understanding, and we made it our mission more than 20 years ago to organize the world’s information to make it universally accessible and useful. The learning landscape is changing, and the Learning and Education team's mission is to help everyone in the world learn anything in the world. We provide the information, tools, and services that help people gain knowledge, fuel curiosity, and prepare for what’s next. We focus our work to add the most value for users to enable learning for school, work, and life. We believe everyone can and should have access to quality learning experiences to reach their full potential.
Research, develop, plan, and implement Machine Learning software solutions. Develop, manage, and maintain Machine Learning infrastructure.
Work with other team members to build upon our data collection, storage, and processing infrastructure.
Propose new ideas how AI can improve our products and internal processes and systems.
Conduct research and implement solutions by following best practices of software engineering and maintaining high precision and scientific principles.
Propose improvements of the team's processes and practices. Demonstrate growth mindset, self-reflection and provide feedback to other team members, peers, and managers.
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.