We are EyeSee - the fastest-growing behavioral research company in the world! We specialize in understanding how people really feel about different advertisements, shopper marketing, digital solutions, and innovations. Our unique approach, cutting-edge technology, and dedication to make a change enable us to help our clients such as Google, Twitter, Microsoft, and many others to truly understand their consumers.


Obilićev Venac 12 Beograd, Srbija

About us

EyeSee is a behavioral research company, based in New York, Antwerp, Paris, London, Singapore, Mexico City, and Belgrade. With innovation in our DNA and using pioneering technology we combine behavioral and conventional research methods to unlock next-level insights for global clients. Our teams conduct award-winning studies in more than 40 countries, and Deloitte recognized us several years in a row as one of the fastest-growing tech companies, which earned us the Most sustainable Growth award.

Through highly effective methods such as online eye tracking, facial coding, virtual shopping, and survey, we measure the impact of shopper marketing, advertising, digital solutions, and innovations. For research purposes, respondents use their own devices (computers and mobile phones), thus cutting down time, costs, and enabling testing on a global scale. Our teams conduct award-winning studies in more than 40 countries.

To understand their consumers and users, and thus, directly impact the success of their brands and products – companies turn to market research. In the past 70 years, that was mostly done like this: market researchers would sit with the consumers and through focus groups, interviews, and surveys, try to capture what people think, like and want. The issue with this is that people usually don’t do as they say, often rendering this data unreliable, subjective, and biased – leading to expensive and wrong decisions.

Enter behavioral methods that EyeSee combines with the conventional – they enable us to get an objective insight into what really draws attention, causes an emotional reaction, or sells off the cluttered supermarket shelf or huge e-commerce websites. All of this happens remotely, using the respondent’s devices by using methods such as eye-tracking (measuring what people are looking at), facial coding (learning about emotional engagement through facial expressions), measuring the speed of responses and using virtual shopping to see what people buy in a realistic shopping experience. EyeSee relies on introducing the most cutting-edge technologies and an innovative approach into this old industry.

EyeSee’s culture is built on innovation, experimentation, and a dedication to making an impact. We blend a scientific approach, smart researchers, and amazing technology to deliver a deeper understanding of human behavior. At EyeSee, there is space for everyone’s ideas to be heard and implemented. We are not afraid to disrupt the market research industry and trailblaze a new path for ourselves!

Our colorful team expands in size every year - we are looking forward to meeting creative & committed characters to join EyeSee and grow with us!

Tech stack

JavaScript ReactJS HTML5 CSS3 PHP Laravel Lumen Python Linux Bash AWS Git NPM Machine Learning Athena Parquet ETL Glue


Private health insurance for employees and their children


Possibility of English conversation classes with a native speaker

Education and development budgets

Spot bonuses and rewards

Referral bonuses

Fun Office Events

Teambuilding & Quarterly budget for team activities

Vouchers for kids and International Women’s Day (8th of March) & Support for big life events

23 days of paid vacation (including company closing between New Year and Christmas)

Our people

Vladimir Matić

Vladimir Matić

Machine Learning Engineer

On a weekly basis, EyeSee analyzes hundreds of user videos through market research projects. If you like video processing, Computer Vision, and Deep Learning, this is the perfect place for you to develop state-of-the-art AI models for emotion and behav...

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Teodora Ocokoljić

Teodora Ocokoljić

IT Project Manager

After 3 years in Data and Insights, I joined R&D as an IT Project Manager. It's a great opportunity to shift focus and challenge myself by devising a new IT PM system from scratch. EyeSee has enabled me to try out things and gain precious expe...

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Nikola Miljević

Nikola Miljević

Junior PHP Developer

A few things stand out at EyeSee: work on challenging projects is a huge learning opportunity; using the latest technologies; world-class products; and great management that managed to increase revenue during the pandemic so that the company is safe. A...

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Miloš Živanić

Miloš Živanić

Junior Web Developer

I joined the R&D team a year ago as a JavaScript developer. The projects we work on are dynamic and complex, which gives me the chance to constantly develop and get acquainted with new technologies. The biggest benefits are the relaxed atmosphere a...

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Selection process

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The classic one: you send us your CV and our technical recruiter and team lead will carefully review it. 

Next step is a quick phone call from our recruiter so we can learn more about your skills and ambitions.

Technical task will be the ground for you to show us how you apply knowledge to a specific example. Although this part is not everyone’s favorite, we can boast with feedback from candidates that the task was super interesting to them - we are sure you will like it too!

If the task is positively evaluated, during the technical interview you will meet the team lead and one team member. You three would discuss your approach to solving the task, as well as the position itself. Right after it, a 30-min HR interview will take place.

Final step – sending you a job proposal and wishing you a warm welcome!


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Intervju · 23.08.2021.

Data Analyst

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Detaljnim mailom mi je stigao poziv da radim testove iz engleskog (20min.) i logičkog zaključivanja (45min.) i odmah smo zakazali online intervju. Na tom intervjuu bio je HR, pripravnik HR i 2 vodje tima (istovremeno). Nakon toga, poslali su mi teorijski (pitanja iz teorije statistike) i praktični zadatak (u SPSSu ili...


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