google machine learning phd salary

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Google Research Scientist Salaries

Research Scientist compensation in United States at Google ranges from $281K per year for L4 to $481K per year for L5. View the base salary, stock, and bonus breakdowns for Google's total compensation packages. Last updated: 3/23/2024

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Given Google sometimes issues offers with an irregular vesting schedule (33%, 33%, 22%, 12%), the average total compensation is calculated by dividing the total stock grant evenly by 4

Latest Salary Submissions

Vesting schedule.

At Google, Main RSUs are subject to a 4-year vesting schedule:

38 % vests in the 1st -year ( 3.17 % monthly )

32 % vests in the 2nd -year ( 2.67 % monthly )

20 % vests in the 3rd -year ( 1.67 % monthly )

10 % vests in the 4th -year ( 0.83 % monthly )

33 % vests in the 1st -year ( 2.75 % monthly )

33 % vests in the 2nd -year ( 2.75 % monthly )

22 % vests in the 3rd -year ( 1.83 % monthly )

12 % vests in the 4th -year ( 1.00 % monthly )

Google commonly refers to RSU as GSU (Google Stock Unit). Although the name is different, it is the same as RSU's. Google's Vesting Schedule may vary between monthly and quarterly vesting depending on the number of shares you recieve: less than 32 GSUs (Annually), 32 - 63 GSUs (Semi-annually), 64 - 159 GSUs (Quarterly) and 160+ GSUs (Monthly).

50 % vests in the 1st -year ( 4.17 % monthly )

28 % vests in the 2nd -year ( 2.33 % monthly )

12 % vests in the 3rd -year ( 1.00 % monthly )

36 % vests in the 1st -year ( 3.00 % monthly )

16 % vests in the 4th -year ( 1.33 % monthly )

25 % vests in the 1st -year ( 2.08 % monthly )

25 % vests in the 2nd -year ( 2.08 % monthly )

25 % vests in the 3rd -year ( 2.08 % monthly )

25 % vests in the 4th -year ( 2.08 % monthly )

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Help advance the future of computer science

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Careers at Google

Our researchers are embedded in teams across computer science, to discover, invent, and build at the largest scale.

Research Scientist

Whether developing experiments, prototyping implementations, or designing new architectures, Research Scientists work on real-world problems in computer science. Our Research Scientists work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.

Research Engineer

Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. From creating experiments and prototyping implementations to designing new architectures, research engineers work on machine learning, data mining, hardware and software performance analysis, improving compilers for mobile platforms and much more.

Our technical interns are key to innovation at Google and make significant contributions through applied projects and research publications. Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.

We believe open collaboration is essential for progress

We're proud to work with academic and research institutions to push the boundaries of AI and computer science. Learn more about our student and faculty programs, as well as our global outreach initiatives.

Average Machine Learning Engineer Salary at Google, Inc.

The average salary for a Machine Learning Engineer is $127,500 in 2024

Featured Content

Common health benefits for a machine learning engineer, gender breakdown for machine learning engineers.

FAQs About Machine Learning Engineers

What is the highest pay for machine learning engineers.

Our data indicates that the highest pay for a Machine Learning Engineer is $NaN / year

What is the lowest pay for Machine Learning Engineers?

Our data indicates that the lowest pay for a Machine Learning Engineer is $NaN / year

How can Machine Learning Engineers increase their salary?

Increasing your pay as a Machine Learning Engineer is possible in different ways. Change of employer: Consider a career move to a new employer that is willing to pay higher for your skills. Level of Education: Gaining advanced degrees may allow this role to increase their income potential and qualify for promotions. Managing Experience: If you are a Machine Learning Engineer that oversees more junior Machine Learning Engineers, this experience can increase the likelihood to earn more.

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Atlanta, GA, USA

Senior Software Engineer, Artificial Intelligence

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Data Center Technician, Global Server Operations, Cloud Region

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AI/ML Carbon Reduction and Net Zero Lead

Mountain View, CA, USA

Software Engineering Manager II, Infrastructure, Platforms Infrastructure Engineering

Sunnyvale, CA, USA

New Business Account Strategist, Onboarding, Google Customer Solutions

New York, NY, USA

Staff Product Design Engineer, Tablets

Head of private platforms and anti-covert tracking, privacy sandbox.

Mountain View, CA, USA ; Atlanta, GA, USA ; +11 more ; +10 more

Cloud Customer Engineer, AI/ML

Cambridge, MA, USA ; New York, NY, USA

Product Manager, Data Analytics and Business Intelligence

Hyderabad, Telangana, India

Lead CPU and Performance Architect

Austin, TX, USA ; Mountain View, CA, USA ; +2 more ; +1 more

Go-To-Market Scale Lead, Data Analytics and AI

Retail partner manager, consumer go-to-market, chrome os.

Munich, Germany

Director, Data Center Network Delivery

System coexistence validation engineer, pixel.

New Taipei, Banqiao District, New Taipei City, Taiwan

Data Center Electrical Engineer

Vienna, Austria

Account Development Manager, Google Cloud (English, Japanese)

Tokyo, Japan

Data Center Operations Facility Technician, Generators

The Dalles, OR, USA

Silicon Product Development Engineer, Functional, Google Cloud

Tel Aviv, Israel ; Haifa, Israel

Research Intern, PhD, Summer 2024

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Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The anticipated application window is open until March 29th, 2024 , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher opening.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

• 1. In the “Resume Section:” attach an updated CV or resume.
• 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
• Under “Degree Status,” select “Now attending” to upload a transcript.

This role may also be located in our Playa Vista, CA campus.

Minimum qualifications:

• Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
• Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).

Preferred qualifications:

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
• In their penultimate academic year or returning to a degree program after completion of the internship.
• Experience as a researcher, including internships, full-time, or at a lab.
• Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
• Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
• Ability to communicate in English fluently.

About the job

Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

The US base salary range for this full-time position is $109,000-$145,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Develop and execute a research agenda.
• Contribute to a productive and innovative team, including working with peers, managers, and partner teams.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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Google Machine Learning Engineer Salaries

The role of Machine Learning Engineers has become particularly significant in recent times, thanks to fast-paced growth in automation and Artificial Intelligence. Several big tech companies, including Google, hire all through the year for Machine Learning roles. Google, in particular, is known to pay attractive salary packages to ML engineers, making it a coveted company for engineers wishing to work in a superior and stimulating work environment. 

Getting into Google isn’t easy, though. If you’re wondering how tough it is to land a job at Google , well, less than 2% of engineers who apply actually end up landing an offer. The stringent interview process ensures only the best of the best get through. So adopting a foolproof prep strategy is extremely important to crack interviews at Google. 

If you are preparing for a tech interview, check out our interview questions page and salary negotiation ebook to get interview-ready!  

Also, read Google Interview Questions and the Google Interview Guide for specific insights and guidance on Google tech interviews .

Having trained over 6,000 software engineers , we know what it takes to crack the toughest tech interviews. Since 2014, Interview Kickstart alums have been landing lucrative offers from FAANG and Tier-1 tech companies, with an average salary hike of 49%. The highest ever offer received by an IK alum is a whopping $933,000!

At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.

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In this article, we’ll look at how much Machine Learning Engineers at Google make in a year. We’ll also compare ML salaries at Google with other top technology companies. Here’s what we’ll cover in this article:

• What do ML engineers at Google do?
• Qualifications for ML engineers at Google
• Additional benefits offered to ML engineers at Google
• Machine Learning Engineer Salaries - Google vs. Other FAANG Companies
• Get ready for your next ML interview

What Do Machine Learning Engineers at Google Do?

Machine Learning Engineers build AI algorithms to automate software systems and predictive models. An ML engineer also designs scalable solutions to increase the scope of these models and build inventive tools to track large-scale metrics. 

Here’s what an ML engineer at Google typically does:

• Designs and builds scalable ML systems
• Develops AI algorithms to automate software systems and applications
• Enhances the performance of predictive models
• Designs the model’s architecture, interpreting metrics, and performing data pipeline interaction

Qualifications for ML Engineer Roles at Google

Here’s what Google typically looks for in applicants who apply for Machine Learning Engineer roles:

• A Master’s degree in Computer Science, IT, or a related field
• Proficiency in object-oriented programming languages and big data analytics
• Should be familiar with ML concepts such as Infrastructure Development, Application Development, Data Governance, and Data Engineering

As mentioned earlier, Google is known to offer lucrative compensation packages and other rewarding benefits to ML engineers. 

An ML engineer at Google typically draws an average base compensation of $128,910 . Bonuses for ML roles average at $15,978 , and stock options for ML roles (depending on the level of seniority) can go up to $127,820 . The total average compensation of ML engineers at Google is $136,899.

Salary Components for Machine Learning Engineers at Google

• Base Compensation: The Base Compensation is the fixed component of your salary.
• Bonus: The bonus pay is tied to your performance and is paid out yearly
• Stock options : Stock units, which are Restricted Units (also known as Google Stock Units), have a vesting period of 4 years at Google. Stock options can be much higher for senior ML roles. 

Additional Benefits Offered to ML Engineers at Google

In addition to annual compensation, below are some added benefits that ML engineers at Google enjoy:

• Insurance — health, dental, vision, disability, and life
• Paid breakfast, lunch, and dinner
• Health savings account
• Transportation within and to the Google campus
• Maternity and paternity leave
• Paid vacations
• Flexible spending account

Machine Learning Engineer Salaries: Google vs. Other FAANG Companies

Below is a comparison of Machine Learning Engineer salaries at Google and other FAANG companies. 

‍ As you can see, the salaries for machine learning engineers at Google are at par with other FAANG companies, except Netflix. Netflix is known to pay higher salaries as it usually hires more experienced engineers for ML and related roles.

Get Started With Your Machine Learning Interview Prep

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Also, check out some student reviews to see how we’ve successfully helped thousands of engineers land dream offers at their favorite companies. 

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