Job Opportunities API

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 the role:  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. Job Responsibilities: Technical Leadership & Architecture 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. Technical Implementation & Delivery Lead the development of complex ML systems and architectures in the field of Intelligent Document Processing (IDP). Drive optimization of model performance, efficiency, and scalability. Improve ML development, validation, deployment, and operational processes. Ensure production readiness, system reliability, and technical excellence across ML initiatives. Team Mentorship & Leadership Mentor and develop senior and junior machine learning engineers. Foster a culture of engineering excellence, knowledge sharing, and continuous learning. Guide technical decision-making and provide feedback through design reviews. Support the career growth of team members while maintaining high engineering standards. Job Requirements: Education & Experience 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 and driving technical excellence. Technical Expertise Expert knowledge of computer vision, multimodal architectures, and modern ML frameworks. Deep understanding of ML system design, scalability, and performance optimization. Strong programming skills in Python. Proven ability to solve com