Senior Machine Learning Engineer, Synthetic Data & Document Understanding

📋 Description

• Own the synthetic data generation track for ABBYY’s Document AI Data team.
• Build generative pipelines for high-quality, diverse training data at scale.
• Ensure synthetic data aligns with real-world document structures.
• Develop evaluation frameworks to measure data quality and model impact.
• Collaborate with Modeling teams to assess downstream performance.
• Own end-to-end architecture from data generation to validation.

🎯 Requirements

• 5+ years of ML/AI experience, with deep generative modeling.
• Strong expertise in deep generative modeling and data quality.
• Experience with Vision-Language Models (VLMs) and NLP.
• Proficiency in Python and PyTorch for research and production.
• Experience building large-scale data pipelines and production systems.
• Ability to design robust data quality metrics and dashboards.

🎁 Benefits

• Remote and hybrid working options.
• Flexible hours to support balance across teams.
• Two paid volunteering days per year.
• Paid parental leave in all locations.
• Comprehensive medical, accidental, and life insurance.
• Generous paid time off and wellness programs.