Synetiq - Ad performance through emotions | Work at Synetiq
synetiq, neuromarketing, ad tracking, video analysis, advert tracking, biometrical data, data-driven, market research
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Hello friend

Life has been very exciting at Synetiq during the past months: we doubled the team, moved to a cool new office, started building a new product, gained the appreciation of plenty of new clients…

This is the best time for you to join our awesome team if you fancy working with cutting-edge technologies and can imagine spending your days at a fast-growing startup, or if you are interested in the coolest neuromarketing research projects in Budapest.

Synetiq is a leading neuromarketing media research company measuring people’s emotional reactions to media content. We are a cheerful team of engineers, data scientists, researchers, media experts and business professionals providing a solution for broadcasters, agencies and advertisers to better understand their audience.

 

To have a better idea about who we are and how we work, read the blog posts our beloved colleagues: Synetiq: more than a company we work for and #Life at Synetiq or watch this short video made by one of our interns. 

 

We work hard and always aim to deliver the best results. Meanwhile, the team’s happiness remains top priority. Our perks include home office and flexible work hours, office massage, individual leadership coaching, cafeteria for food and leisure, a fridge filled with beers, self-development Friday afternoons, conference participation and learning materials, occasional dinners and fun weekends…

 

We’d be glad to have some more talented people join the team. In case you feel you are a good fit for any of the below positions, then go ahead and submit your application, we’ll be happy to read your thoughts.

Open Positions 

Business operations lead

The Business Operations Lead of Synetiq will make sure the company runs smoothly, complies with all legal requirements and that all stakeholders are happy including suppliers, management, investors and the team.

 

Responsibilities will include

  • following the financials of the company,
  • preparing recurring and ad-hoc financial reports,
  • building the company’s business plan,
  • assessing periodic accounts and facilitating audit processes,
  • revising contracts,
  • writing and enforcing company policies,
  • doing market research,
  • proactively preparing and advising business transactions,
  • being involved in hiring,
  • mentoring a small team.

 

This is a unique opportunity for someone with a broad range of expertise and still willingness to learn. The Business Operations Lead role requires an exciting mix of skills covering finance, business planning, legal compliance, people operations and management.

 

Hard requirements

  • minimum 3 years relevant work experience
  • thorough business administration knowledge
  • understanding of the Hungarian accounting and corporate tax systems
  • affinity to handle legal matters
  • familiarity with startup financing concepts and terminology
  • English and Hungarian fluency
  • spreadsheet/excel mastery
  • precision

 

Additionally, we appreciate experience in

  • M&A deals
  • interviewing, people operations
  • entrepreneurship
  • marketing

 

We’ll appreciate your hard work for which we offer you to

  • face exciting challenges in your work
  • learn a lot, have opportunity for weekly self-development sessions
  • have flexible work hours, home office
  • enjoy nice compensation and benefit package
  • become member of an awesome team and part of an extraordinary startup story

Software Engineer

We are looking for a talented and passionate software engineer to join our engineering team developing data processing and reporting applications.

 

What we do

  • We develop and operate Synetiq’s video intelligence products from end to end. You will have the chance to work in a broad range of software engineering areas, like low-level sensor data processing, data pipelines, databases and web frontends.
  • We value clean code and know how to write it. Code review (via GitHub) is an integral part of our development process.
  • Our applications are built on open source software. We use Python, Docker, GitHub, PostgreSQL and several parts of the Google Cloud Platform.
  • We work in an agile way. We do daily standups. Every two weeks we have sprint planning meetings, where every team member’s opinion is heard.

 

What we offer

  • Be part of a small engineering team where the contribution of each member is crucial. Thus, have the chance of making a huge impact on Synetiq’s tech stack and the success of the business.
  • Take part in developing data processing and reporting applications to harvest the results of original, cutting edge neuroscience research conducted at the company.
  • Exciting challenges and support from the team and your mentor
  • Self-development opportunity
  • Flexible work hours, home office
  • Competitive compensation and benefit package
  • Fruit, massage, coffee and beer in the downtown office
  • Feedback sessions and one-on-one mentoring
  • Join an awesome team and be part of an extraordinary startup story

 

What we look for

  • Be passionate about software engineering, be strongly driven to build a working product.
  • Be open and eager to learn or introduce new technologies. Be curious about what’s happening in the (tech) world.
  • Excellent coding skills, solid understanding of at least one mainstream programming language like Java, C++, Python or Javascript. We mainly work with Python, so some experience with Python is preferred.
  • Basic command of the software engineering toolset like source control (like SVN, Git or Mercurial), build and deployment tools (like Gradle or Docker) and IDEs (like Eclipse or IntelliJ IDEA).
  • At least one year of work experience in a relevant technology role (software engineer, data engineer, devops). A history of internships, contribution to open source software or private projects are also welcome.
  • Interest in data processing and visualisation applications, good analytical skills.
  • Ability to cope with a rapidly changing startup environment.
  • Some knowledge of web technologies (HTML, CSS), networking (TCP/IP, HTTP), SQL and databases, Windows, Linux and a proficient usage of the command line would be useful.

 

What we expect from you

  • Take part in the full development lifecycle of Synetiq’s data processing pipeline and reporting applications: write code, review others’ code, test, deploy, troubleshoot and operate software.
  • Be an active member of the agile engineering team, contribute to standups and planning meetings. Observe the way Synetiq works, continuously think about and suggest improvements in technology as well as in other areas.
  • Work closely with the Client Services Team (media analysts and sales) to understand our clients’ needs and act upon them.
  • Provide end-to-end technical support for Synetiq’s data acquisition and processing pipeline.

Data Engineer

We are looking for a talented and passionate data engineer to join our engineering team developing data processing and reporting applications.

 

What we do

 

  • We develop and operate Synetiq’s video intelligence products from end to end. You will have the chance to work in a broad range of software engineering areas, like low-level sensor data processing, data pipelines, databases and web frontends.
  • We value clean code and know how to write it. Code review (via GitHub) is an integral part of our development process.
  • Our applications are built on open source software. We use Python, Docker, GitHub, PostgreSQL and several parts of the Google Cloud Platform.
  • We work in an agile way. We do daily standups. Every two weeks we have sprint planning meetings, where every team member’s opinion is heard.

 

What we offer

 

  • Be part of a small engineering team where the contribution of each member is crucial. Thus, have the chance of making a huge impact on Synetiq’s tech stack and the success of the business.
  • Take part in developing data processing and reporting applications to harvest the results of original, cutting edge neuroscience research conducted at the company.
  • Exciting challenges and support from the team and your mentor
  • Self-development opportunity
  • Flexible work hours, home office
  • Competitive compensation and benefit package
  • Fruit, massage, coffee and beer in the downtown office
  • Feedback sessions and one-on-one mentoring
  • Join an awesome team and be part of an extraordinary startup story

 

What we look for

 

  • Be passionate about data engineering, be strongly driven to build a working product.
  • Be open and eager to learn or introduce new technologies. Be curious about what’s happening in the (tech) world.
  • Excellent coding skills, solid understanding of at least one mainstream programming language like Java, C++, Python or Javascript. We mainly work with Python, so some experience with Python is preferred.
  • Basic command of the software engineering toolset like source control (like SVN, Git or Mercurial), build and deployment tools (like Gradle or Docker) and IDEs (like Eclipse or IntelliJ IDEA).
  • At least one year of work experience in a relevant technology role (software engineer, devops). A history of internships, contribution to open source software or private projects are also welcome.
  • Interest in data processing and visualisation applications, good analytical skills.
  • Ability to cope with a rapidly changing startup environment.
  • Some knowledge of web technologies (HTML, CSS), networking (TCP/IP, HTTP), SQL and databases, Windows, Linux and a proficient usage of the command line would be useful.

 

What we expect from you

 

  • Take part in the full development lifecycle of Synetiq’s data processing pipeline and reporting applications: write code, review others’ code, test, deploy, troubleshoot and operate software.
  • Be an active member of the agile engineering team, contribute to standups and planning meetings. Observe the way Synetiq works, continuously think about and suggest improvements in technology as well as in other areas.
  • Work closely with the Client Services Team (media analysts and sales) to understand our clients’ needs and act upon them.
  • Provide end-to-end technical support for Synetiq’s data acquisition and processing pipeline.

Areas of interest

In case you find nothing relevant for your expertise in our open positions section,  feel free to tell us why and in which field you would be a good fit for the team 😉

We’ll be in touch as soon as the opportunity comes!

Engineering

#dataengineer, #datascientist, #machinelearning, #ai, #python, #googlecloud, #bigdata

Media Analyst

#videoanalysis, #brands, #engagement, #dataviz, #reports

Customer service, sales

#brands, #marketingtech, #adtech, #businessdevelopment, #customeraquisition

Data Science internships

Synetiq has a large dataset of videos and triggered human responses, even emotions. We are always improving our products with exciting features, and we would appreciate a motivated new colleague to explore some new opportunities.

We expect a highly autonomous candidate that can hack things on her own. Besides, supervision and guidance will be provided on daily basis by our skilled tech and research teams.

Synetiq is a leading neuromarketing media research company measuring people’s emotional reactions to media content. We are a cheerful team of engineers, psychologists, researchers and business experts providing a solution for broadcasters, agencies and advertisers to better understand their audience.

We are currently offering four different internship projects:

 

1. Ranking/recommending videos

video recommender

Project description
The proliferation of high speed networks and improvements of data mining techniques have created the possibility for personalized online video advertising. Selecting which video should be presented to each user is still an open challenge.

Scope
Build a ranking/recommender model and training pipeline that applies learning to rank or multi-armed bandit techniques to select the best video for a user or segment. For simplicity, each video is previously encoded as a numerical feature vector.

Skills
Hands on experience with data science techniques in either Python, R or Matlab.
Knowledge of recommender systems or search engines is appreciated.

Seniority
BSc/MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

 

2. Cluster people based on their response profiles

market segmentation

Project description
Clustering is an unsupervised technique that could help unravel meaningful patterns in data. In this specific use case, the applicant will get responses of a survey from thousands of participants. The survey consists of different sub-questionnaires of variable question types.

Scope
The task is to find clusters of testers that would help identifying groups of testers and potentially shorten the length of the survey in the future. We encourage the applicant to use standard techniques (e.g. k-means clustering). The clustering performance is measured on questionnaire data.

Skills
Hands on experience with data science techniques in either Python, R or Matlab or any analytics platform (Knime, Spotfire, Tableau, Rapidminer).

Seniority
BSc/MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

 

3. Predict eye tracking

Bacardi - pack shot.png

Project description
The use of eye tracking devices makes possible the analysis of human attention on images. These methods are not scalable, hence predicting where humans are looking at based only on the video content has a big potential.

Scope
Build a model and training pipeline that generates the expected heatmap of attention based only on the pixels of the image.

Skills
Hands on experience with deep learning techniques in either Python, R or Matlab.
Hands on experience with computer vision and CNNs.

Seniority
MSc or demonstrable experience

Start date
From 1st of July 2017

Length
350 hours (approx 2 months full time)

 

4. Aesthetics index implementation by machine learning

asthetic index (2)

Project description
Aesthetics is an important factor in advertising business.  We invite the applicant to develop a solution that helps the quantification of aesthetic factors. Neuroscience research tells that people like symmetric faces and faces that do not deviate too much from the population average face.

Scope
The task will be based on this and similar results and will include face recognition and facial feature extraction. We encourage the applicant to identify facial landmarks either by HOG, Haar cascade classifiers and/or deep neural networks.

Skills
Hands on experience with data science techniques in either Python, R or Matlab.
Hands on experience with computer vision and CNNs.

Seniority
MSc or demonstrable experience

Start date
Anytime

Length
350 hours (approx 2 months full-time or 4 months part-time)

Apply to one of these data science internships by specifying which of the 4 you are interested in:

Lab Assistant (part-time)

Part-time | Few days each month

If you are interested in the world of media, marketing, psychology or biological sensors and you have the time to work with us on multiple days a week during our monthly measurement weeks press the application button!
Recommended for students or job seekers

 

Expectations:
  • steady English and Hungarian knowledge
  • exactitude
  • reliability
  • good communication, people skills

 

Advantages: psychophysiology, media or market research experience

More details of the position in the application form 😏

Other

In case you couldn’t find any relevant fields for your expertise, worry you not, use this general application button and tell us why and in which role you would be a good fit for the team. We’ll be in touch as soon as the opportunity comes.