Software Engineer, 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 one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with data structures or algorithms.
- 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.
- 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 and teamwork skills, with the ability to collaborate across boundaries
About the job
The User Voice AI/ML team sits within the Data Engineering and Back-end Infrastructure (DEBI) team within gTech Users and Products Engineering, and is responsible for all the Feedback model serving and ML platform work required to support the Feedback and User Voice ecosystem. Feedback is a large-scale external and internal facing product within infrastructure for ingesting, labeling, analyzing and surfacing vast amounts of data all with the main goal of enabling our product facing teams to best represent the user voice and advocate for their needs.
In this role, you will be a member of the User Voice AI/ML team, and be responsible for onboarding the Feedback, ML infrastructure and maintaining and enhancing it in a multi-year roadmap 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 a Robust 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 diverse 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).
The US base salary range for this full-time position is $136,000-$200,000 + 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
- Design, develop, test, deploy and maintain software systems for user feedback model serving.
- Prototype and build features and solutions in a changing environment.
- Collaborate closely with Engineers, Product Managers, and User Experience to complete tasks end to end with less guidance from executive leads, 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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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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