Senior Machine Learning Engineer, Synthetic Data & Document Understanding

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   We are seeking a  Senior Machine Learning Engineer – Synthetic Data & Document Understanding  to own the synthetic data generation track within ABBYY’s  Document AI Data team .   This role focuses on building  generative pipelines that produce high-quality, diverse, and realistic synthetic training data  at scale. You will ensure synthetic data meaningfully improves downstream model performance by maintaining strong alignment with real-world document structures, formats, and statistical properties.   This is an ideal role for engineers who combine  deep generative modeling expertise with rigorous data quality evaluation and production engineering skills .   Key Responsibilities   Technical Development & Innovation   Design and implement pipelines that analyze real documents to inform  high-fidelity synthetic data generation   Build generative systems capable of producing documents across diverse  formats, layouts, and domains   Develop  evaluation frameworks  to ensure synthetic data maintains distributional fidelity and diversity   Research and apply  generative modeling techniques  suited for document AI training   Identify and mitigate quality issues to ensure synthetic data is effective for downstream model training   Partner with Modeling teams to measure the  impact of synthetic data on model performance   Project Ownership & Leadership   Own the synthetic data generation track  end-to-end , from architecture to quality validation   Drive architectural decisions balancing  quality, diversity, scale, and cost efficiency   Define and maintain  data quality metrics and generation dashboards   Collaborate closely with annotation teams to ensure compatibility with downstream pipelines   Contribute to roadmap planning alongside Principal-level leadership   Infrastructure & Scale   Build scalable pipelines capable of generating  millions of synthetic training examples   Implement  post-processing, filtering, and validation mechanisms  to remove low-quality outputs   Design cost-efficient workflows balancing  compute, quality, and throughput   Develop monitoring systems to detect  distribution shifts or quality degradation over time   Collaborate with Platform teams on  compute orchestration, storage, and scheduling   Qualifications   Education & Experience   MS or PhD in Computer Science, Engineering, Mathematics, or related field   5+ years of experience in  Machine Learning / AI , with focus on:    Generative models   Vision-Language Models (VLMs)   Synthetic data systems   Proven experience building and evaluating  synthetic data pipelines for ML training   Strong background in  data quality evaluation and statistical analysis   Technical Expertise   Deep expertise in  Vision-Language Models  and document understanding (layout, structure, semantics)   Strong knowledge of  generative modeling for structured and semi-structured data   Understanding of what makes synthetic data valuable:    Distributional fidelity   Diversity   Realistic noise patterns   Domain coverage   Strong programming skills in  Python  with experience in  PyTorch or similar frameworks   Experience evaluating data quality via  automated metrics and downstream model impact   Familiarity with  large-scale data pipelines, cloud environments, and experiment tracking   Leadership & Communication   Proven ability to independently own complex technical workstreams   Strong collaboration across  data, modeling, and platform teams   Ability to clearly communicate  data quality and generation trade-offs   Data-driven mindset with strong attention to  coverage gaps and quality signals   Here are some of our local benefits:   Comprehensive medical, accidental, and life insurance   Weekly wellness sessions to support your physical and mental well-being   A generous paid time off policy       Join ABBYY, and you will: Love how you work We provide remote and hybrid working options to fit all lifestyles. We use flexible hours across most of our teams to allow you to find your own definition of balance. Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about. To ensure your family is cared for, we offer paid parental leave in all our locations. Love whom you work with We are a global team of 600+ colleagues, spread across 15 countries on four continents. With colleagues representing 30+ nationalities, our workforce reflects the world. Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents. We are guided by the values of respect, transparency, and simplicity. "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments. Love what you work on We are a company with more than 35 years of experience in the technology market; Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK; We have modernized the capture market by creating the first low-code/no-code IDP platform. Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process; Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others. ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.