ABBYY
Enterprise · Document AI
- HQ
- Milpitas, US
- Founded
- 1989
- Size
- 500+
- Website
- abbyy.com
Currently tracking 8 active AI roles, up 82% versus the prior 4 weeks. Primary focus: Serve · Engineering.
ABBYY currently has 18 active AI-related job listings. The company's hiring is concentrated in roles related to serving infrastructure and data, each accounting for 39% of the active listings. Engineering is the top function for these roles. Over the last 30 days, ABBYY has seen a significant increase in new AI roles, with 13 positions posted, representing a 333% rise compared to the previous 30-day period.
Enterprise · Document AI
ABBYY currently has 21 active AI-related roles in our index. The most common open titles are: Senior Product Manager, AI (3), Senior Software Engineer – C# (2), Senior Software Engineer – C++ (2), Senior Software Engineer – C++ and C# (2), Staff Software Engineer (2). Most positions are in Engineering and Product.
ABBYY's active AI hiring is concentrated in: serving infrastructure (33%), data (33%), application (19%). 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 (13 roles), India (11 roles), United States (3 roles).
Job postings at ABBYY most frequently reference: model serving, vision, multimodal, inference infra, fine tuning.
In the past 30 days, ABBYY has posted 16 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Machine Learning Engineer - Model Efficiency Optimization Seeking a Principal Machine Learning Engineer to lead ABBYY's model optimization strategy for document AI at scale. This role involves defining technical direction from research to production, focusing on building efficient, high-performing models. Responsibilities include establishing evaluation frameworks for quality vs. efficiency trade-offs, leading implementation of optimization pipelines, and collaborating with various teams to ensure optimized models meet performance standards. Requires expertise in model optimization techniques, efficient deep learning, VLMs, and Python/PyTorch. | ServePost-train | 9 |
| Staff Engineer – Data/AI Platform Engineering Staff Engineer role focused on designing and scaling enterprise data and AI platforms, including ML model deployment, inference systems, and data governance, to power intelligent automation solutions for enterprise customers. | ServeData | 7 |
| Staff Software Engineer (AI/ML/ SaaS) Staff Software Engineer to build and scale ABBYY's AI platform, focusing on platform engineering, MLOps, and DevOps. The role involves owning AI service deployment, observation, and evolution in production, with a strong emphasis on Kubernetes, cloud infrastructure, and ML lifecycle automation. Responsibilities include designing and building scalable AI platform services, owning MLOps workflows, building Kubernetes platforms for AI workloads, working on data pipelines, and enabling the end-to-end ML lifecycle. | ServeData | 7 |