Partner Solutions Engineer, Machine Learning and Digitization Operations at Google

Ann Arbor, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

183000.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

HTML, CSS, JavaScript, HTTP, Java, C/C++, Python, Technical Troubleshooting, Robotics, Motor Controllers, Photography, Imaging Equipment, Database Development, Workflow Optimization, Automation, Hardware Integration

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent practical experience. * 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). * 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). * Experience troubleshooting technical issues for internal/external partners or customers. PREFERRED QUALIFICATIONS: * Experience working with hardware systems in a laboratory or industrial setting (e.g., robotics, motor controllers, etc.). * Experience with photography or imaging equipment. ABOUT THE JOB: 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). In this role, you will unlock offline information at scale, digitizing content for YouTube, Google books, arts and culture and other products to enhance user access and advance machine learning. You will design and manage industrial-scale digitization facilities using custom software and hardware. Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video [https://www.youtube.com/watch?v=HcjR6ZngQcw]. The US base salary range for this full-time position is $127,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Build, test and launch internal tools to power digitization services. * Maintain existing tools, hardware and collaborate with regional technician teams. * Develop operational databases, reports and support tools. * Optimize workflows by identifying inefficiencies and automation opportunities. * Partner with global engineers, developers and Operations teams to scale projects beyond book scanning.

Responsibilities

Build and maintain internal tools and hardware to power industrial-scale digitization services for products like YouTube and Google Books. Optimize operational workflows and collaborate with global engineering teams to scale digitization projects.