Staff Machine Learning Engineer

📋 Job Overview

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.

🏢 About ABBYY

ABBYY is 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.

🎯 The Role

As a Staff Machine Learning Engineer, you will 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.

✅ Key Responsibilities

• 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
• 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
• 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

📌 Required Qualifications

• 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
• 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

⭐ Desirable Experience

• 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

🎁 Benefits

• Medical benefits after 90 days
• SZÉP Card allowance for recreational activities
• Volunteering Time Off (VTO)
• Company paid sick time up to 10 days per year

The anticipated base salary range for this position is between 22,110,000 HUF and 26,950,000 HUF annually. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority compared to others performing substantially similar work. There is no guarantee that an offer will be at the top of the posted range, as compensation decisions are based on a variety of factors including, but not limited to, skills, qualifications, and internal equity.