Location: Sunnyvale, CA
Company: Google
purpose or specific use case tuned models. We directly engage with many Product Areas across Alphabet and land models and techniques with significant quality, performance, and productivity wins. As a Principal Engineer, you will be responsible for technical design and outlook for our Generative AI tuning and optimization platform.
You will be deeply involved in the long-term design and experience of our tuning and adaptation workflow that brings the best in AI to the right Google products. 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 $271,000-$399,000 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. Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, other relevant engineering field, or equivalent practical experience 15 years of experience as a Software Engineering leader in ML Infrastructure, ML or AI for products, or related fields Experience with machine learning systems Experience motivating others at all levels by creating a roadmap Preferred qualifications: Experience building ML infrastructure or products with heavy use of AI/ML and large groups of stakeholders or users Experience in large language model, media generation, or other generative AI tuning and optimization techniques Experience with working with stakeholders to understand their needs and translate them into technical requirements Experience with ideation and innovation of technology at scale and passion for development and the use of cross-platform shared code Understanding of ML Systems and Infrastructure for production with technical knowledge to be credible with customers and engineers - Lead the technical design across the team as needed to build Generative AI tuning and optimization platforms to improve model quality and performance, as well as providing a guide for research innovations to be translated into safe and reliable products.
- Work with partners from Google Research and Product Areas (e. g. Ads, Search, You Tube, Google Cloud, etc. ), to develop Generative AI tuning and optimization tool chains, platforms, and techniques. Influence partners and stakeholders across the organization to build joint roadmaps and drive outcomes for product.
- Lead, design, and develop the Generative AI Model to Production strategy in alignment with Core ML strategy. - Mentor and train team members on system design, ML modeling, and coding techniques relevant to Generative AI. Keep the team current with knowledge and models, and help prioritize technical innovation accordingly. Requisition #: 97875583553151686pca3lyuhf
Engineering jobs encompass roles that involve applying scientific and mathematical principles to design, develop, and maintain structures, machines, materials, systems, and processes. These positions are characterized by innovation, problem-solving responsibilities, and the need for technical expertise. Engineers can specialize in various fields such as civil, mechanical, electrical, chemical, and software, among others. They are essential in shaping the infrastructure of the modern world, formulating solutions to complex challenges, and driving technological advancement. Engineering roles often require a strong educational background combined with practical experience, and they stand out for their contribution to societal progress and potential for career growth.
Engineering jobs encompass a variety of roles focused on designing, developing, and maintaining systems or structures. These positions often require strong problem-solving skills, technical expertise, and a solid foundation in mathematics and science. Engineers typically work in fields such as civil, mechanical, electrical, chemical, or software engineering. The unique characteristic of engineering jobs lies in their blend of creativity and practicality, as engineers innovate while ensuring functionality and safety. With the ongoing advancement of technology, engineering roles are also evolving, demanding continuous learning and adaptation.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
Engineering jobs encompass various roles focused on designing, developing, and maintaining structures, machines, devices, systems, and materials. These positions require a strong foundation in STEM (Science, Technology, Engineering, Mathematics) and often involve problem-solving, creativity, and technical expertise. Typical engineering disciplines include civil, mechanical, electrical, and chemical engineering, among others. Engineers work in diverse industries, from automotive to aerospace, construction to computing. Characteristics of engineering jobs include a blend of theoretical knowledge and practical application, a commitment to safety and efficiency, and the likelihood of collaborating across multidisciplinary teams.
