research and development engineer google salary

All Research Salaries

Google Research Salaries

The median Research compensation in United States package at Google totals $212K per year. View the base salary, stock, and bonus breakdowns for Google's total compensation packages. Last updated: 10/26/2024

Median Package

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 )

25 % vests in the 1st -year ( 6.25 % quarterly )

25 % vests in the 2nd -year ( 6.25 % quarterly )

25 % vests in the 3rd -year ( 6.25 % quarterly )

25 % vests in the 4th -year ( 6.25 % quarterly )

At Google, Main RSUs are subject to a 3-year vesting schedule:

33 % vests in the 1st -year ( 8.25 % quarterly )

33 % vests in the 2nd -year ( 8.25 % quarterly )

34 % vests in the 3rd -year ( 8.50 % quarterly )

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Google Research careers

Help advance the future of computer science. Our teams are innovating at the cutting edge of their fields in order to tackle challenges and build products that impact billions of people every day.

Our mission and philosophy

The research conducted at google has broadened dramatically, becoming more important to our mission than ever before..

We aim to create a research environment rich in opportunities for product impact, to build a product environment that actively benefits from research, and to provide our staff the freedom to work on important research problems that go beyond immediate product needs.

Explore our locations

Offices around the world

From Accra to Zürich, to our home base in Mountain View and other Google research offices, we’re looking for talented, creative computer scientists to drive our work forward.

North America

Our teams in Atlanta focus on theoretical and application aspects of computer science with a strong focus on machine learning and the algorithmic foundations and theoretical underpinnings of deep learning, with applications to natural language understanding, machine perception, robotics, and ubiquitous computing and sensing.

Our teams in Cambridge work closely with academics at local universities as well as collaborators at local institutes with a goal to impact both Google’s products and general scientific progress. We accomplish this by releasing open source tools, publishing our work and sharing our findings with the academic community.

More boardshorts than boardroom, high tech meets high tide at Google L.A. Our engineers work on such high-impact products as Ads, Chrome, and YouTube, while our sales teams push the limits of digital advertising for top-tier clients. Take advantage of our picture-perfect SoCal weather by hitting the rock wall and elevate team strategy sessions with a game of oversized chess on the roof deck. In-house coffee and juice bars provide pick-me-ups, and beach breaks double as brainstorm sessions when you borrow one of our 4-seat surrey bikes, beach cruisers, or surfboards and head to the boardwalk.

Google Research in Montreal performs both open-ended and applied research, in numerous areas including reinforcement learning, meta-learning, optimization, program synthesis, generative modeling, machine translation, and more. We also support the local academic community and have several academic collaborations, including with Mila – Quebec Artificial Intelligence Institute.

Our headquarters has come a long way from its humble roots in a Menlo Park garage, but our innovative Silicon Valley spirit is stronger than ever. On our largest campus, we work on cutting-edge products that are changing the way billions of people use technology. Onsite benefits like fitness and wellness centers embody our philosophy that taking care of Googlers is good for all of us. Build team skills with a group cooking class or coffee tasting, ride a gBike to one of our cafés, or work up a sweat in a group class. Here at the Googleplex, we’re looking for innovators, collaborators, and blue-sky thinkers. We’re looking for you.

We work in close collaboration with academia, with a goal to impact both Google’s products and general scientific progress. We accomplish this in two ways: by releasing software libraries, a way to build research findings into products and services, and through publishing our work and sharing our findings with the academic community.

Our team in Pittsburgh conducts research in natural language processing, machine learning, image and video understanding, and optimization, and our impacts range from academic paper publications to software systems used throughout Google. We collaborate closely with research and applied groups in many areas, and also work closely with Carnegie Mellon University and other organizations in the extremely strong computer science community in Pittsburgh.

As our company headquarters, Mountain View and the surrounding offices in Sunnyvale, San Francisco, and San Bruno are home to many of our world-class research teams and the innovative projects they work on.

Our research teams in Seattle and Kirkland work on a wide range of disciplines — from quantum computing to applied science to federated learning and health. In doing the above, and more, a large focus of our work also focuses on advancing the state of the art in machine learning.

Nestled between the Santa Cruz Mountains and the San Francisco Bay, with San Jose to the south, San Francisco to the north, and NASA right next door, you’ll find one of Google’s largest and newest global campuses in Sunnyvale. Here in the heart of the original Silicon Valley innovation is happening everywhere—from our Cloud team developing exciting new products and services, to moving into our latest office spaces which include interconnected building projects, the creation of green spaces connecting campuses with the community, and the creative restoration of local habitats. We love growing in Sunnyvale—and you will too.

We develop novel neural network architectures and learning algorithms, with applications to computer vision, natural language and speech processing, medical image analysis, and computer architecture and software.

Europe, Middle East, and Africa

Google Research teams in Accra collaborate with global research teams to lead many sustainability initiatives of particular interest to Africa. We implement theoretical and applied artificial intelligence with a strong focus on machine learning and algorithmic foundations to tackle some global challenges, such as food security, disaster management, remote sensing, among others.

Researchers in our Amsterdam office push the boundaries of what is possible in many domains, including natural language understanding, computer vision and audio, reinforcement learning and machine learning for the natural sciences.

In Berlin, our teams work on a range of topics from foundational to more applied and involve data comprised of text, images, video, audio and more. We are engaging and collaborating closely with Berlin’s vibrant academic and startup communities.

We work on machine learning, natural language understanding and machine perception, from foundational research to AI innovations, in search, healthcare, and crisis response.

We work on natural language understanding and conversational dialog, text-to-speech, (on-device) machine learning, human-centered AI research and user research as well as healthcare.

We work on problems in quantum computing as well as speech and language processing, and collaborate closely with Google’s product teams across the world.

The Nairobi Research Center is dedicated to advancing research in Food Security and Agriculture. Located in the vibrant capital of Kenya, the center brings together a diverse team of experts that address global food challenges through the development of cutting-edge solutions that shape a brighter future for generations to come.

We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community.

We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.

Asia-Pacific

Google Research Australia aims to advance the state-of-the-art in machine learning, in areas such as Fundamental Machine Learning, Natural Language Understanding, and Systems Programming. We aim to apply our research in ways that benefit Australia, Google and global society.

We are interested in advancing the state of the art and applications in areas like Machine Learning, Natural Language Understanding, Computer Vision, Software Engineering and Multi-agent Systems.

We are interested in advancing the state of the art and applications in areas like machine learning, speech, and natural language processing.

Meet the teams driving innovation

Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Our impact reaches billions

Google Research tackles challenges that define the technology of today and tomorrow.

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Find your research career at Google

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

Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly.

Work across AI research, data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.

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.

Collaboration is essential for progress

We’re proud to work with academic and research institutions that push the boundaries of AI research and computer science.

Measuring and improving the accuracy, safety, speed, and efficiency of AI technologies.

Working to advance fire modeling tools and fire spread prediction algorithms.

Anthropic, Google, Microsoft and OpenAI are launching the Frontier Model Forum, an industry body focused on ensuring safe and responsible development of frontier AI models.