Is Google a good company to work for as a ML Engineer?

ML Engineer professionals working at Google have rated their employer with 4.5 out of 5 stars in 30 Glassdoor reviews. This is a higher than average score with the overall rating of Google employees being 4.4 out of 5 stars. Search open ML Engineer Jobs at Google now and start preparing for your job interview by browsing frequently asked ML Engineer interview questions at Google .

Does Google pay ML Engineer employees well?

ML Engineer professionals rate their compensation and benefits at Google with 4.9 out of 5 stars based on 30 anonymously submitted employee reviews. This is 8.5% better than the company average rating for salary and benefits. Find out more about ML Engineer salaries at Google.

What are the top reviewed jobs at Google?

Software Engineer (10525) , Senior Software Engineer (1606) , Intern (1236) , Software Developer (1219) , Account Manager (852) , Product Manager (796) , Software Development Engineer (SDE) (770) , Analyst (758) , Program Manager (630) , Project Manager (610) , SWE Intern (545) , Data Scientist (515) , Internship (502) , Software Engineer(Internship) (496) , Manager (485)

What are the pros of working at Google according to real employee reviews?

"My teammates were really great people and did a lot to help me get up and running."" ((in 4203 reviews)); "great benefits and I do believe they build some of the best products out there." ((in 3690 reviews)); "It was a great environment and culture that I looked forward to going to every day." ((in 3488 reviews)); "In those positions you can have a good work/life balance and just use all the benefits" ((in 2677 reviews)); "Would recommend Software Engineering/Development/PM at Google if you want a nice comfy job with perks and good pay." ((in 2331 reviews))

What are the cons of working at Google according to real employee reviews?

"Long hours and lots to learn if you are not a learner it might not be the best place" ((in 814 reviews)); "bad management and rude to customers" ((in 742 reviews)); "Recent layoffs (I've not been impacted) have felt really sad to experience." ((in 579 reviews)); "People are forced out by bad managers via bad annual reviews and PIP program to get there friends in there." ((in 569 reviews)); "Bad leadership and goal progress" ((in 313 reviews))

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Google

Google ML Engineer reviews

4.5

100% would recommend to a friend

(30 total reviews)

Sundar Pichai

100% approve of CEO

100% positive business outlook

Ratings by category

4.9

Compensation and benefits

4.9

Career opportunities

4.7

Culture & values

4.7

Senior management

4.5

Work/Life balance

4.4

Diversity & inclusion

ML Engineer employees have rated Google with 4.5 out of 5 stars, based on 30 company reviews on Glassdoor. This indicates that most ML Engineer professionals have an excellent working experience there. Google is rated in line with the average (within 1 standard deviation) by ML Engineer professionals compared to other employers within the Information Technology industry (3.9 stars).

Ratings by demographic groups

Race / Ethnicity

Gender

Sexual orientation

Disability

Parent or family caregiver

Veteran status

Reviews by job title

30 reviews

4.0

Apr 9, 2025

Good

Ml engineer

Recommend

CEO approval

Business Outlook

Pros

Google is good company according to me.

Cons

Generative AI System Design question asked in interview 3 years back before Gen AI was a thing

5.0

Apr 6, 2025

Google: A Tech Giant Shaping the Future of Innovation”

Ml engineer

Recommend

CEO approval

Business Outlook

Pros

Innovation Leader: Constantly developing cutting-edge technologies (e.g., AI, cloud, search, Android). Great Work Culture: Known for flexible hours, open communication, and a collaborative environment. Employee Perks: Free meals, wellness programs, campus amenities, and generous compensation packages. Global Impact: Products like Search, Gmail, Maps, and YouTube improve daily life for billions. Strong Learning Environment: Opportunities for growth, learning, and working on meaningful projects.

Cons

Work-Life Balance Can Vary: Some teams report high pressure and long hours, especially in engineering roles. Bureaucracy: Large size can lead to slow decision-making and internal red tape. Privacy Concerns: Critics argue that Google’s data collection practices raise ethical issues. High Expectations: Performance culture can be intense and competitive. Market Dominance Scrutiny: Faces ongoing legal and public scrutiny over monopolistic behavior.

4.0

Dec 17, 2024

good

Ai/ml engineer

Recommend

CEO approval

Business Outlook

Pros

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Cons

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Viewing 13 - 15 of 30 Reviews

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Google ML Engineer reviews

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Good

Google: A Tech Giant Shaping the Future of Innovation”

good

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