Senior Software Engineer, ML Tooling at Google
Sunnyvale, TX 75182
About the Job
Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Experience in C++ or Python.Preferred qualifications:Experience with ML frameworks (e.g., Pathways, Gemax Prod, Pax, T5X, etc.).Experience with ML developer infrastructure.Experience developing tools and infrastructure.Experience with SQL to develop impact tracking dashboards.Ability to collaborate across teams and organizational boundaries.Interest in problems ML developers are facing
About the job 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.With your technical expertise you will manage project priorities, deadlines, and deliverables
You will design, develop, test, deploy, maintain, and enhance software solutions.The team's main objective is to increase developers' velocity, while also saving TPU resources
The team owns two projects both of which focus on accelerating and simplifying ML development
Google Cloud accelerates every organization’s ability to digitally transform its business and industry
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably
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 $161,000-$239,000 + 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
Responsibilities Develop tools and infrastructure for ML developers.Set success metrics and iterate to maximize impact on those metrics.Integrate developed tools into common ML infrastructure.Identify new opportunities for having impact in the tooling space, scope, and execute projects.Collaborate effectively across the team and organization boundaries, while also addressing user requests.
About the job 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.With your technical expertise you will manage project priorities, deadlines, and deliverables
You will design, develop, test, deploy, maintain, and enhance software solutions.The team's main objective is to increase developers' velocity, while also saving TPU resources
The team owns two projects both of which focus on accelerating and simplifying ML development
Google Cloud accelerates every organization’s ability to digitally transform its business and industry
We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably
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 $161,000-$239,000 + 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
Responsibilities Develop tools and infrastructure for ML developers.Set success metrics and iterate to maximize impact on those metrics.Integrate developed tools into common ML infrastructure.Identify new opportunities for having impact in the tooling space, scope, and execute projects.Collaborate effectively across the team and organization boundaries, while also addressing user requests.
