ABBYY
Enterprise · Document AI
- HQ
- Milpitas, US
- Founded
- 1989
- Size
- 500+
- Website
- abbyy.com
Enterprise · Document AI
Currently tracking 7 active AI roles, down 60% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $75k–$170k (avg $125k).
ABBYY has 13 active AI-related job listings. The majority of these roles are in data, accounting for 38% of the openings, followed by serving infrastructure at 31%. Engineering is the top function across all these positions. The company is hiring for these roles in Hungary and India. Frequent technology tags include model_serving, inference_infra, and vision, suggesting a focus on deploying and optimizing AI models.
ABBYY currently has 12 active AI-related roles in our index. The most common open titles are: Senior Software Engineer – C# (2), Senior Software Engineer – C++ (2), Staff Software Engineer (2), Principal Machine Learning Engineer - Model Efficiency Optimization, Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager). Most positions are in Engineering.
ABBYY's active AI hiring is concentrated in: data (42%), serving infrastructure (25%), agents (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ABBYY is hiring AI talent in: Hungary (7 roles), India (5 roles).
Job postings at ABBYY most frequently mention: Machine Learning, Vision-Language Models, Applied Mathematics, Large Language Models (LLMs), Aerospace.
In the past 30 days, ABBYY has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Synthetic Data & Document Understanding This role focuses on building generative pipelines for synthetic data at scale for document understanding tasks. The engineer will design and implement systems to produce high-quality, diverse synthetic training data, develop evaluation frameworks, and ensure the synthetic data improves downstream model performance. Responsibilities include owning the synthetic data generation track end-to-end, driving architectural decisions, and building scalable, cost-efficient pipelines. | Data | 8 |
| Senior Machine Learning Engineer - AI-Assisted Data Annotation This role focuses on designing, building, and owning AI-assisted data annotation pipelines using LLMs and vision-language models to generate high-quality training data at scale for enterprise customers. It involves developing annotation strategies, quality validation systems, and optimizing inference pipelines. | DataPost-train | 8 |
| Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager) Principal Machine Learning Engineer (Tech Lead Manager) to lead ABBYY’s Document AI Data team. This role involves hands-on technical leadership and people management, owning the architecture and roadmap for building high-quality training data at scale, and managing the team. The focus is on defining how training data is created, validated, and scaled for LLMs and VLMs. | DataPost-train | 8 |