Principal Machine Learning Engineer
Description For Principal Machine Learning Engineer
ABBYY, a global leader in document understanding and intelligent process automation, is seeking a Principal Machine Learning Engineer to drive innovation in our document understanding technology. With over 35 years of market experience and serving 10,000+ customers including Fortune 500 companies, ABBYY is at the forefront of AI-powered document processing solutions.
As a Principal Machine Learning Engineer, you'll lead the development of state-of-the-art document understanding models while mentoring a team of senior engineers. You'll be responsible for architecting solutions, driving technical decisions, and establishing best practices for model development and deployment. The role combines technical excellence with strategic leadership, requiring expertise in deep learning, computer vision, and large-scale ML systems.
Working at ABBYY means joining a diverse team of 600+ colleagues across 15 countries, with a culture that values respect, transparency, and simplicity. We offer flexible work arrangements, comprehensive benefits, and the opportunity to work on transformative technology that serves major global enterprises. Our commitment to innovation is evidenced by our 140+ technology patents and recognition from top analyst firms like Gartner and Everest.
The ideal candidate will bring 10+ years of ML/AI experience, strong leadership capabilities, and a passion for solving complex technical challenges. You'll have the opportunity to shape the future of document understanding technology while working with cutting-edge AI technologies in computer vision and natural language processing.
Responsibilities For Principal Machine Learning Engineer
- Architect and implement state-of-the-art document understanding models
- Drive technical decision-making for ML infrastructure and model architecture
- Lead and mentor a team of senior machine learning engineers
- Define technical roadmaps aligned with business objectives
- Partner with infrastructure teams to design and optimize data pipelines
- Ensure robust monitoring and maintenance of production ML systems
- Drive improvements in model performance, efficiency, and reliability
- Foster a culture of technical excellence and innovation
Requirements For Principal Machine Learning Engineer
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 10+ years of experience in Machine Learning/AI, with focus on Computer Vision
- Deep expertise in modern deep learning architectures
- Strong programming skills in Python and proficiency with PyTorch
- Extensive experience with cloud platforms and MLOps tools
- Proven ability to lead and mentor technical teams
- Excellence in cross-functional collaboration and technical communication
- Proven track record of deploying ML models at scale in production environments
Benefits For Principal Machine Learning Engineer
- 18 Days of Paid Time Off Annually
- Medical, Accidental, and Life Insurance
- Weekly Wellness Sessions
- Monthly Healthcare Allowance
- Flexible hours
- Two paid volunteering days off yearly
- Paid parental leave
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