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Partner Solutions Engineer, Machine Learning and Digitization Operations

Google

Mountain View (CA)

On-site

USD 123,000 - 176,000

Full time

4 days ago
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Job summary

A leading tech company is seeking a Partner Solutions Engineer to enhance user experiences through digitization and machine learning. This role involves designing tools, maintaining hardware, and collaborating with global teams to optimize operations. Candidates should have a strong engineering background and experience in coding and troubleshooting.

Benefits

Bonus
Equity
Benefits

Qualifications

  • 3 years of experience coding with one or more programming languages.
  • Experience troubleshooting technical issues for internal/external partners.

Responsibilities

  • Design, implement, test, and launch internal tools for Digitization Services.
  • Maintain existing tools and hardware infrastructure in book scanning operations.
  • Analyze work processes for inefficiencies and automation opportunities.

Skills

Coding
Troubleshooting

Education

Bachelor’s degree in Engineering
Bachelor’s degree in Computer Science

Job description

Partner Solutions Engineer, Machine Learning and Digitization Operations

corporate_fare Google place Mountain View, CA, USA

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Minimum Qualifications
  1. Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  2. 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  3. 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 meet partners and consumers where they are, providing support and representing their needs with our product partners. We propose fixes and features to enhance engagement with Google's diverse products. Additionally, we offer services like localization, digitization, and partner integration to optimize our products worldwide.

Our Digitization Services aim to unlock offline information through large-scale content digitization for Google Books Search, Google Arts and Culture, YouTube, Google Cloud, and Google Hardware teams, supporting information access and Machine Learning development. We operate industrial-scale facilities with custom equipment and software.

Google develops products and services to improve the world, and gTech helps bring these to life through trusted advisory support, technical expertise, and tailored solutions that meet complex customer needs. Our goal is to maximize the benefits of Google products for our customers.

Salary Range

The US base salary for this full-time role is $123,000-$176,000, plus bonus, equity, and benefits. Salary offers depend on location, skills, experience, and education. Details about specific salaries will be shared during hiring.

Responsibilities
  • Design, implement, test, and launch internal tools for Digitization Services.
  • Maintain existing tools and hardware infrastructure in book scanning operations, collaborating with regional technicians.
  • Develop internal databases, reports, and tools to support operations.
  • Analyze work processes for inefficiencies and automation opportunities.
  • Collaborate with a global team of support engineers, software developers, and operations staff on various projects beyond book scanning.

Google is an equal opportunity employer committed to diversity and inclusion. We provide a work environment free from discrimination based on race, gender, age, disability, and other protected classes. For more information, see Google's EEO Policy and related resources.

English proficiency is required for all roles to facilitate global collaboration. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.

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