What are Research Scientists? Are they well compensated at large tech companies such as Google, Facebook, OpenAI, and Deepmind? What is the average Research Scientist's salary? If you get a Research Scientist offer, should you negotiate?
The guide below aims to equip you with the essential information you need for your upcoming Research Scientist salary negotiation — based on our experiences across hundreds of Research Scientist negotiations across Google, Facebook, OpenAI, Deepmind, and more. If you’ve just received your dream Research Scientist offer letter, this guide will help you maximize your total compensation.
If your situation is unique or you want 1:1 support to ensure you maximize your compensation, please sign up for a free consultation with one of our expert negotiators.
A Research Scientist typically conducts research and development in a specific area of expertise, such as artificial intelligence, machine learning, computer science, or a related field. The specific responsibilities of a Research Scientist can vary depending on the company and the specific team or project they are working on, but some typical duties might include:
Working as a Research Scientist at Google, Facebook, Amazon, etc., involves conducting and leading research in a specific area of expertise, collaborating with other researchers and teams, and contributing to the advancement of the field.
Working at a startup versus a larger company like Google involves several vital differences. One difference is funding, as startups often need more funding which can affect the resources and support available to employees. In contrast, larger companies like Google generally have more financial resources and can offer their employees more comprehensive support and resources.
Another difference is the organizational structure, as startups tend to have flatter structures which can provide employees with more opportunities to take on responsibility and have a greater impact on the direction of the company, whereas working as a Research Scientist at larger companies like Microsoft tends to have more hierarchical structures with defined roles and responsibilities.
Startups tend to have a more laid-back and entrepreneurial culture focusing on innovation and taking risks, whereas larger companies like Amazon and Deepmind may have a more formal and structured work environment with a greater emphasis on process and stability.
Startups may offer more opportunities for employees to take on new challenges and responsibilities; this means that startups also have less structured career advancement pathways, whereas working as a Research Scientist at a large tech company like Amazon typically has more defined career advancement pathways and structured training and development programs.
Albeit, working at an established company like Google or Meta will be less risky as these large-cap companies tend to be more stable and offer higher job security to their employees. With high risk comes high rewards, so while working at a startup may be riskier, it is also well worth it if the startup is successful.
An individual's path will depend on personal goals, interests, and skills. Some common career paths for Research Scientists include:
Many companies are known for being great places to work for Research Scientists, and the best one for you will depend on your interests, goals, and values. Some factors to consider when evaluating potential employers include the company's mission and values, the quality of the research conducted, the support and resources available to researchers, and the company's culture and work environment.
Here are a few examples of companies that are often considered to be among the best places to work for Research Scientists:
Ultimately, the best company for you will depend on your specific interests and goals, as well as your values and priorities. Understanding and carefully evaluating the culture, work environment, and opportunities available at different companies is essential to determine the best fit for you.
Depending on your location, the base salary offered by companies like Google, Facebook, and Amazon will differ, along with the rest of the compensation components. Most companies compensate Research Scientists according to the cost of living in their respective location and the going market rate for engineers in the area, so it's essential to be mindful of how your location will affect your pay. If you are not in the Bay Area, NYC or Seattle, your comp will likely be lower than the numbers you find online.
With that being out of the way, base salary at Deepmind, OpenAI, and Google, unsurprisingly, is the component that moves the least when negotiating. The aforementioned companies have a small band for the base salary within each level, so you'll likely only see your base move by a maximum of $20k-$30k.
Annual bonuses are another component that can be coupled with the base salary. The annual bonus is usually non-negotiable and highly subjective to the company you are applying to. Here are a few examples of the Annual bonuses for companies that hire Research Scientists (for the same level L4 equivalent):
Most FAANG companies offer performance bonuses; it is essential to be aware of the annual bonus when negotiating, especially when you have multiple offers. Companies such as Google and Facebook often apply a company multiplier to performance bonuses, which they also do for stock refreshers.
Of course, annual bonuses are non-negotiable, but if negotiating with a company like Amazon that doesn't offer them, you can always factor them into your counteroffer's base salary as your "yearly cash amount.”
Companies like Facebook and Microsoft follow a standard and linear vesting schedule of 25% yearly (typical initial grants last four years). Although, companies are starting to get very creative (to gain the upper hand) in how they vest RSUs.
At Facebook, Microsoft, OpenAI, and most other companies, RSUs are subject to a 4-year vesting schedule: 25% vests at the end of the 1st year (sometimes accompanied by a cliff), then 25% in each of the 2nd, 3rd, and 4th years. For example, if you were given a stock grant of 400k at Facebook over four years, the equity would vest as follows:
Google and Amazon do equity vesting a little differently. Google has a front-loaded equity vest (33-33-22-12), while Amazon has a back-loaded equity vest (5-15-40-40). They often use these vesting schedules to inflate your offer and make it look more substantial than it is. In Google’s case, the recruiters often quote the first-year number as your per year total compensation, while Amazon adds a ‘conservative’ 15% growth factor on your future equity. Knowing how the recruiters frame your offer is paramount, as it could be the difference between accepting a great offer and an outstanding one.
At Rora, we have seen Research Scientists get offered a small signing bonus without asking for it - recruiters often use this tactic to sweeten the deal. It’s often possible to increase the signing bonus substantially (this is where having leverage helps!). With the proper leverage and framework, Research Scientists can get up to $100,000 in Tier 1 locations (Bay Area, New York), which holds across companies like Google, Facebook, Amazon, and more!
Albeit, it's a common recruiter trick to leave a signing bonus out of the initial offer so they can add it as part of the negotiation (and avoid increasing the base or equity, which could require more senior-level approval). Some recruiters have claimed that the company does not offer sign-on bonuses, which isn’t always the case. Recruiters at Google and Facebook will not initially include a sign-on bonus. Instead, a sign-on bonus is often added when specific leverage/information is shared with them.
Most companies will reserve the right to “claw back” a portion of your signing bonus if you leave before the 1-year mark. This is normal for major tech companies, commonly only requiring you to repay the pro-rata amount — for example, if you leave after ten months, you would need to pay 2/12 of your signing bonus back.
These are some of the offers we helped negotiate in Tier 1 locations like SF and New York. Although the numbers mentioned above seem very enticing, the proper framework and leverage were used to achieve such strong results.
Before preparing for a negotiation, make sure you have a good understanding of both your financial and career goals. This will help you decide what you should be asking for and make you better prepared to negotiate effectively.
For example, if you hope to save a certain amount of money each month or save for a specific goal, you should make sure the salary you are negotiating will help you get there. This may mean you ask for more salary instead of a non-cash benefit like equity.
A clear goal of what a pay increase will help you achieve will help you feel more confident to ask.
If you haven’t yet received an offer, here are a few things to consider during the interview process:
Negotiating a salary, equity, and signing bonus for a Research Scientist offer can be daunting. Still, with the proper knowledge and preparation, you can increase your chances of securing a fair and competitive offer. We recommend you:
Employers commonly use a handful of sneaky tactics to help pull the negotiation in their favor — and it’s essential to be aware of them to avoid being taken advantage of. The most common tactics include putting time pressure on you with an exploding deadline, mentioning that the initial offer is non-negotiable (even though it is!), selling you on company growth and saying that your equity value will increase substantially, and promising to revisit pay in the near future.
Some of the most common negotiation strategies that we use in rebuttal are:
Research Scientists in tech play a crucial role in driving innovation and solving complex problems. According to the U.S. Bureau of Labor Statistics, Research Scientists’ offers are projected to grow 21% from 2021 to 2031, much faster than the average for all other occupations.
Sameer is a Lead Negotiator at Rora where helps individuals understand their market value and supports them during the negotiation process. Sameer has done over 400 negotiations and has been negotiating professionally for 2 years.
Previously - Sameer worked in Venture Capital in North America and multiple start-ups in the Middle East, where he frequently used financial modelling and operational analytics to negotiate equity with investors.
As a negotiator, Sameer has assisted several clients in increasing their offers by millions of dollars, and has helped hundreds of talented candidates advocate to receive their appropriate compensation and seniority.
Over 1000 individuals have used Rora to negotiate more than $10M in pay increases at companies like Amazon, Google, Meta, hundreds of startups, as well as consulting firms such as Vanguard, Cornerstone, BCG, Bain, and McKinsey. Their work has been featured in Forbes, ABC News, The TODAY Show, and theSkimm.
Step 1 is defining the strategy, which often starts by helping you create leverage for your negotiation (e.g. setting up conversations with FAANG recruiters).
Step 2 we decide on anchor numbers and target numbers with the goal of securing a top of band offer, based on our internal verified data sets.
Step 3 we create custom scripts for each of your calls, practice multiple 1:1 mock negotiations, and join your recruiter calls to guide you via chat.