Senior Machine Learning Engineer

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.

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 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'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.

We are seeking a talented Senior Machine Learning Engineer to develop and optimize next-generation multimodal understanding models, with a strong focus on computer vision. This hands-on technical role combines deep implementation expertise with project execution. The ideal candidate will implement and optimize ML solutions while collaborating across functions to deliver production-ready systems.

Core Responsibilities

Technical Development & Innovation:

• Develop and optimize state-of-the-art computer vision and multimodal models

• Design and implement advanced model architectures for visual understanding tasks

• Create robust evaluation frameworks and testing methodologies

• Drive technical improvements in model performance and efficiency

• Research and evaluate new approaches in computer vision and multimodal learning

• Implement novel computer vision algorithms and techniques

Project Leadership:

• Lead technical implementation of ML projects

• Drive architectural decisions for model development

• Review code and model architectures

• Contribute to technical planning and decision-making

• Support cross-functional collaboration with product and infrastructure teams

• Help maintain technical standards and best practices

Infrastructure & Scale:

• Implement scalable training and evaluation pipelines for computer vision models

• Build efficient visual data processing workflows

• Develop monitoring solutions for production ML systems

• Optimize model performance and resource utilization

• Support deployment and production maintenance

• Design efficient inference systems for visual processing

Required Qualifications

Education & Experience:

• MS or PhD in Computer Science, Engineering, Mathematics, or related field

• 5+ years of experience in Machine Learning/AI

• Strong track record of shipping computer vision models to production

• Deep expertise in computer vision and deep learning

Technical Expertise:

• Expert knowledge of computer vision techniques and architectures

• Deep expertise in modern deep learning architectures for visual and multimodal tasks

• Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks

• Experience with cloud platforms and MLOps tools

• Demonstrated ability in building and optimizing training pipelines

• Strong background in image processing and visual computing

Leadership & Communication:

• Experience leading technical projects

• Strong problem-solving and analytical skills

• Excellence in cross-functional collaboration and technical communication

• Ability to translate complex technical concepts to various audiences

This role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.

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.