Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fuelling ours.

Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you will work with experts who are creating market-leading technologies, using Machine Learning and Artificial Intelligence, and an advanced and sophisticated tech stack.

The open position is in the area of Task Mining. Task Mining is an approach to process optimization, where we record how human individuals work and based on the recordings, we try to devise an optimal way of executing specific tasks (e.g. approving a loan request). A recording contains screenshots taken while the human executed the task, and our job is to extract various information from the screenshots. We should identify which form/screen the user was working on, which control they changed, and how it was changed. To successfully extract the information, we use OCR, object detection, clustering and similar techniques. The successful candidate is expected to further optimize existing methods as well as experiment with other image processing technologies.

Job requirements:

  • Strong knowledge of algorithms and data structures
  • Strong C++
  • Intermediate ML
  • Intermediate Python

Additionally, you will enjoy some of our local benefits such as:

  • Individual healthcare insurance is valid from the employment, the extended one is valid when the probation period ends.
  • Partial compensation for glasses and lenses.
  • Up to 2 days paid time off per year for participating in volunteer activities.
  • 3 extra days/ month for 'sick leave' without doctors visit

At ABBYY you will: 

Love how you work

  • We provide remote and hybrid working options to fit all lifestyles.
  • We use flexible hours across most of our teams to allow you to find your own definition of balance.
  • Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
  • To ensure your family is cared for, we offer paid parental leave in all our locations.

Love whom you work with

  • We are a global team of 800+ colleagues, spread across 15 countries on four continents.
  • With 30+ nationalities and ages ranging from 21 to 80, our workforce reflects the world.
  • Innovation and excellence run through our veins.
  • Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
  • We are guided by the values of respect, transparency, and simplicity. "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.

Love what you work on

  • We are a company with more than 30 years of experience in the technology market.
  • Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK in our client portfolio.
  • ABBYY has modernized the way companies leverage their data in documents by creating the first low-code/no-code Intelligent Document Processing platform.
  • Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a Marketplace built with AI, can transform any document in any process.
  • Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.

ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website. ​

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Please reach out to our support team via our help center.
Please complete the reCAPTCHA above.