Partner Solutions Engineer, Machine Learning and Digitization Operations

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  • Google
  • Ann Arbor, MI
  • Full-Time
  • 5 days ago
  • $127,000-$183,000
Published
May 14, 2026
Location
Ann Arbor, MI
Category
Job Type

Partner Solutions Engineer, Machine Learning and Digitization Operations: our view in 3 lines...

  • The Role: This role supports digitization and machine learning initiatives by designing and managing industrial-scale digitization facilities and tools for offline content conversion.
  • The Person: The person will build, test and launch internal digitization tools, maintain hardware and software, develop operational databases and reports, optimize workflows and collaborate with global engineering and operations teams to scale digitization projects.
  • Requirements: Requires a Bachelor’s degree or equivalent, 3 years coding experience with languages such as Java, C/C++, or Python, 3 years with client-side web technologies such as HTML, CSS, or JavaScript, and experience troubleshooting technical issues for partners or customers.

Job 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.

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.

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.
Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
C/C++ HTML CSS Hardware Integration Imaging/photography Equipment Operational Databases Machine Learning C Python Java Javascript

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