Software Engineer, ML Inference/Serving at Google
MOFFETT FIELD, CA 94035
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.3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or a related technical field.1 year of experience in a technical leadership role.Experience developing accessible technologies.Experience in building high performance serving systems.Experience in performance and resource optimization
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.The Core team builds the technical foundation behind Google’s flagship products
We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google
These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer
We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems
As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.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 Write and test product or system development code.Help build performant, scalable, and efficient infrastructure components for ML serving.Collaborate with clients teams to help design and implement subsystems to solve problems and integrate with Servomatic service.Collaborate with other ML Infrastructure teams to help prototype and productionize research ideas.Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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.The Core team builds the technical foundation behind Google’s flagship products
We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google
These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer
We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems
As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.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 Write and test product or system development code.Help build performant, scalable, and efficient infrastructure components for ML serving.Collaborate with clients teams to help design and implement subsystems to solve problems and integrate with Servomatic service.Collaborate with other ML Infrastructure teams to help prototype and productionize research ideas.Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
