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 fueling 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 purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
Job Responsibilities:
Technical Leadership & Architecture
- Guide architectural decisions for computer vision and multimodal systems
- Drive implementation of novel ML approaches and best practices
- Lead technical design reviews and architecture discussions
- Establish patterns for model development and deployment
- Evaluate and introduce new technologies and methodologies
- Ensure technical excellence across ML initiatives
Team Mentorship & Growth
- Mentor senior and junior machine learning engineers
- Foster a culture of engineering excellence and knowledge sharing
- Guide career development of team members
- Lead technical discussions and learning sessions
- Review and provide feedback on technical approaches
- Help build and maintain high engineering standards
Technical Implementation & Scale
- Lead development of complex ML systems and architectures
- Guide optimization of model performance and efficiency
- Establish frameworks for model evaluation and validation
- Drive improvements in development and deployment processes
- Ensure production readiness and system reliability
- Architect scalable ML solutions
Job Requirements:
Education & Experience
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 8+ years of experience in Machine Learning/AI
- Deep expertise in computer vision and deep learning
- Proven track record of leading successful ML projects
- Experience mentoring engineers and driving technical excellence
Technical Expertise
- Expert knowledge of computer vision and multimodal architectures
- Deep understanding of ML system design and scalability
- Strong programming skills in Python and modern ML frameworks
- Extensive experience with production ML systems
- Proven ability to solve complex technical challenges
- Strong background in performance optimization
Leadership & Communication
- Demonstrated ability to mentor and grow engineers
- Strong track record of driving technical decisions
- Excellence in technical communication and documentation
- Experience leading architectural discussions
- Ability to influence and drive consensus
- Track record of fostering team growth
This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.
Here are some of our local benefits:
- Work from home, remotely, or hybrid
- Partial compensation for glasses and lenses
- Private health insurance
- Volunteering Time Off (2 days/ year)
- SZÉP Card for recreational activities
- 3 extra days/ month for 'sick leave' without doctors visit
- Flexible working hours
Join ABBYY, and 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 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, 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 35 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;
- We have modernized the capture market by creating the first low-code/no-code IDP 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.
Top Skills
What We Do
ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes, so they can make smart decisions faster and drive better results.
Our intelligent automation solutions employ AI that is purpose-built for the enterprise—created with our customers in mind, supporting over 200 languages in real time.
ABBYY intelligent document processing transforms data from any document, in any format or language, any time, into data that drives processes and decision-making. ABBYY Process Intelligence delivers process-related insights and monitoring to improve business process execution.
For more information, please visit the ABBYY website
