Bachelor's degree in Computer Science, Mathematics, or equivalent experience.
8 years of software development experience.
5 years of experience in testing and launching software products, with 3 years in software design and architecture.
5 years of experience in speech/audio, reinforcement learning, or specialized ML fields.
5 years of experience leading ML design and integrating generative AI tools or LLM interfaces.
Responsibilities
Design, develop, test, deploy, maintain, and enhance large-scale software solutions and resilient distributed backend infrastructure.
Provide technical leadership on generative media projects, managing project priorities and architectural deliverables.
Facilitate alignment across teams on goals, outcomes, and timelines, while coaching a distributed team of engineers.
Lead the design and implementation of solutions in specialized ML areas, optimizing ML infrastructure and guiding model optimization.
Prototype innovative cross-stack features and clean APIs that connect multimodal generation pipelines with user interfaces.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and holidays.
Retirement savings plans with company matching.
Opportunities for professional development and training.
Access to cutting-edge technology and resources.
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Cambridge, MA, USA; Mountain View, CA, USA.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or another specialized ML field.
5 years of experience leading ML design, optimizing end-to-end ML (deployment, evaluation, tuning), and integrating generative AI tools or Large Language Model (LLM) interfaces.
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with advanced data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience building distributed queueing infrastructure or rapidly prototyping cross-stack generative AI applications.
Responsibilities
Design, develop, test, deploy, maintain, and enhance large-scale software solutions and resilient distributed backend infrastructure.
Provide technical leadership on generative media projects, managing project priorities, deadlines, and architectural deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines, while influencing and coaching a distributed team of engineers.
Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide model optimization and data processing strategies.
Prototype innovative cross-stack features and clean APIs that bridge core multimodal generation pipelines with interactive user interfaces.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
