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Job Details
Posted date: Nov 11, 2024
Location: Kirkland, WA
Level: Director
Estimated salary: $236,500
Range: $189,000 - $284,000
Description
Develop JAX ecosystem libraries for Large Language Model training, tuning, adaptation and inference across accelerators. Develop and implement distributed training and parallelism techniques to enable efficient and scalable training of large-scale ML models. Author documentation and guides to facilitate onboarding onto the ecosystem.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.
We are seeking talented Engineers to develop the core infrastructure that will power the next generation of machine learning, unlocking strategic business opportunities and enabling a new era of ML development. Join a team pushing the boundaries of performance and scalability, enabling groundbreaking research and applications in foundational models, generative AI, and beyond. Your experience will shape this open-source ecosystem, impacting the global AI community and Google's AI leadership. If you're passionate about building technology with far-reaching impact, join us and help define the future of AI.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
The US base salary range for this full-time position is $189,000-$284,000 + 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.
Qualifications
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 leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 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 Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience with the latest AI models, tools, and techniques. Experience designing clean and composable APIs. Experience with Compilers or performance engineering.
Extended Qualifications
Bachelor’s degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.Check out other jobs at Google.