Senior Machine Learning Engineer

Stack

Responsibilities

• ▹Guide architectural decisions for mixed (VLM, LLM, DNN) computer vision and multimodal systems
• ▹Drive the implementation of novel ML approaches, engineering best practices, and new technologies
• ▹Lead technical design reviews and architecture discussions
• ▹Establish standards and patterns for model development, evaluation, deployment, and production readiness
• ▹Architect scalable, reliable, and high-performance ML solutions
• ▹Lead the development of complex ML systems and architectures in Intelligent Document Processing (IDP)
• ▹Drive optimization of model performance, efficiency, and scalability
• ▹Improve ML development, validation, deployment, and operational processes
• ▹Mentor senior and junior machine learning engineers
• ▹Foster a culture of engineering excellence, knowledge sharing, and continuous learning

Requirements

• ▹MS or PhD in Computer Science, Engineering, Mathematics, or a related field
• ▹8+ years of experience in Machine Learning/AI
• ▹Deep expertise in computer vision, deep learning, and multimodal AI (VLMs/LLMs)
• ▹Proven track record of leading successful ML projects and delivering production ML systems
• ▹Experience mentoring engineers
• ▹Strong programming skills in Python
• ▹Proven ability to solve complex technical challenges and architect scalable ML solutions
• ▹Deep understanding of ML system design, scalability, and performance optimization

Soft skills

What we offer

• ▹Medical benefits after 90 days
• ▹SZÉP Card allowance
• ▹Volunteering Time Off (VTO)
• ▹Company paid sick time up to 10 days per year
• ▹Remote and hybrid working options
• ▹Flexible hours
• ▹Paid parental leave

About the company

ABBYY has more than 35 years of experience in the technology market, serving 10,000+ customers including many Fortune 500 companies (DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, H&R Block). Its global team spans 600+ colleagues across 15 countries and holds 140+ technology patents.