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Google
Google

Organizing the world's information and making it universally accessible.

Partner Solutions Engineer, Machine Learning and Digitization Operations

RoleMachine Learning
LevelMid Level
WorkOn-site
TypeFull-time
Posted3 weeks ago
Apply now
  • 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.

  • 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.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense