Principal Machine Learning Engineer - Model Efficiency Optimization

Навыки

• Коммуникация
• Computer Vision
• Лидерство
• Machine Learning
• NLP
• Zapier / Make / n8n
• Python

О компании и продукте

• We are seeking a Principal Machine Learning Engineer – Model Efficiency & Optimization to serve as the technical anchor for ABBYY’s model optimization strategy.
• This is a senior individual contributor role for a deep domain expert who will define how ABBYY builds efficient, high-performing, production-ready models for document AI at scale. You will set technical direction from research exploration through production deployment , combining strong theoretical expertise with hands-on implementation.
• 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.

Задачи

• Research Direction & Technical Strategy
• Own the end-to-end technical direction for model efficiency and optimization , from research agenda to production deployment
• Define approaches for building efficient, production-ready models optimized for document AI use cases
• Establish frameworks for evaluating quality vs. efficiency trade-offs (accuracy, latency, memory footprint)
• Set standards for what constitutes a successful optimized model across document understanding benchmarks
• Evaluate and adopt emerging techniques in model optimization and compression
• Influence modeling strategy across teams by integrating efficiency-first thinking into model development
• Hands-on Implementation & Experimentation
• Lead design and implementation of optimization pipelines, training objectives, and compression techniques
• Run large-scale experiments and analyze training dynamics, instabilities, and capability gaps
• Develop novel optimization approaches tailored to document understanding tasks , including layout and multimodal challenges
• Diagnose and resolve failure modes such as quality degradation and generalization gaps
• Prototype and validate new techniques before scaling to production training runs
• Cross-Functional Collaboration
• Partner with the Document AI Data team to define training data requirements for optimized models
• Collaborate with Platform teams on distributed training infrastructure, experiment tracking, and compute strategy
• Work closely with Modeling teams to ensure optimized models meet quality and performance standards
• Communicate technical trade-offs, findings, and recommendations clearly to engineering, product, and leadership stakeholders

Требования

• Education & Experience
• MS or PhD in Computer Science, Engineering, Mathematics, or related field ( PhD preferred )
• 10+ years of experience in Machine Learning / AI , with focus on
• Model optimization
• Efficient deep learning
• Large-scale model deployment
• Demonstrated track record of contributions to model efficiency (e.g., publications, patents, or industry impact)
• Proven experience optimizing large-scale language and/or vision models for production
• Deep understanding of trade-offs between model quality, size, and inference performance
• Technical Expertise
• Deep expertise in model optimization and compression techniques (e.g., quantization, pruning)
• Strong knowledge of efficient deep learning methodologies
• Expertise in Vision-Language Models (VLMs) and multimodal optimization challenges
• Strong programming skills in Python and deep proficiency with PyTorch or similar frameworks
• Experience with distributed training systems and large-scale experimentation workflows
• Strong evaluation methodology for optimized models, including benchmarking, efficiency profiling, and regression analysis
• Leadership & Communication
• Recognized technical authority in model optimization or efficient AI systems
• Proven ability to influence technical direction without formal authority
• Strong track record of driving applied research → production impact
• Excellent communication skills, with the ability to clearly articulate complex trade-offs
• Collaborative mindset with the ability to align cross-functional teams
• Here are some of our local benefits
• Weekly wellness sessions to support your physical and mental well-being

Условия

• Comprehensive medical, accidental, and life insurance

Паспорт вакансии

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