Software Engineer III, User Voice AI/ML, gTech
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in C++, Python, or Java programming languages, or 1 year of experience with an advanced degree.
- 1 year 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.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience working with large-scale data processing and ML platforms.
- Experience with quality analysis and improvement using tools (e.g., A/B testing, experiment frameworks).
- Excellent communication skills, with the ability to collaborate across boundaries.
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.
In this role, you will be a member of the User Voice AI/ML team, and be responsible for on-boarding the Feedback, ML infrastructure and maintaining and enhancing it in a multi-year road-map to build the next generation of suite of user feedback products. The User feedback is a Google Primitive and several Google teams rely on Feedback suite of products to collect, annotate and analyse user feedback within their product. You will collaborate and build the model serving, reduce the time to train/deploy models and critical applications and infrastructure to support our ML platform.
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).Responsibilities
- Design, develop, test, deploy and maintain software systems for user feedback model serving.
- Prototype and build features and solutions in a changing environment.
- Collaborate with Engineers, Product Managers, and User Experience to complete tasks with less guidance from executives, and influence product requirements.
- Manage individual and project priorities, deadlines and deliverables.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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