Job Information
Google Software Engineer, Machine Learning, Generative AI in Mountain View, California
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning, or natural language processing.
Experience in Machine Learning or Artificial Intelligence.
Experience with Large Language Models.
Experience coding in Python.
Preferred qualifications:
Experience in building google infrastructure for LLM product.
Experience with data analytics, logging, or experiment frameworks.
Experience working between engineering and research using data-driven approaches.
Ability to work on rapid prototyping to test new ideas.
Passion for machine learning and Large Language Models.
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 team is at the forefront of developing the next generation of AI glasses that seamlessly integrate user voice, touch, and visual input with Google's advanced AI models and vast knowledge base. Our goal is to create instant and natural multimodal conversational intelligence experiences for users by leveraging cutting-edge AI technologies and Google products such as Search, Maps, YouTube, and Gmail.
The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.
The US base salary range for this full-time position is $136,000-$200,000 + 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 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/) .
Employ a robust Hypothesize-Test-Redesign loop.
Identify data generation and collection strategies to fine-tune and validate Gemini models.
Develop LLM algorithms and solutions that are both effective and practical for production deployment in Bard.
Analyze system performance quantitatively and qualitatively to identify limitations and areas for improvement.
Iterate on data solutions, LLM architecture, and training strategies to achieve quality goals.
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.