Staff Machine Learning Engineer at ABBYY

ABBYY is seeking a Staff Machine Learning Engineer to join their team. This role offers flexible work options and focuses on driving growth while contributing to the company's success. The candidate will work with a portfolio of over 10,000 customers, including many Fortune 500 companies.

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.
• Mentor senior and junior machine learning engineers.
• Foster a culture of engineering excellence and knowledge sharing.
• Guide career development of team members.
• 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.
• Architect scalable ML solutions.

Requirements:

• MS or PhD in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience in Machine Learning/AI.
• 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.
• Demonstrated ability to mentor and grow engineers.
• Strong track record of driving technical decisions.
• Excellence in technical communication and documentation.
• Experience leading architectural discussions.
• Track record of fostering team growth.

ABBYY offers:

• Remote and hybrid working options.
• Flexible working hours.
• 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.