ABBYY

Scaling

Industrial · Document AI

HQ
Milpitas, US
Founded
1989
Size
500+
Website
abbyy.com

Currently tracking 3 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Serve · Engineering.

Hiring
3 / 3
Momentum (4w)
+1 +14%
8 opens last 4w · 7 prior 4w
Salary range
Tracked since
Jan '25
last role today
Hiring velocityscroll left for older weeks
1 new role
Nov 25
2 new roles
Jan 27
1 new role
Mar 24
1 new role
Jul 28
1 new role
Dec 1
1 new role
Jan 26
1 new role
Mar 9
1 new role
16
4 new roles
23
2 new roles
30
2 new roles
Apr 6
3 new roles
20
1 new role
May 4

Jobs (3)

3 AI · 21 total active
TitleStageFunctionLocationFirst seenAI score
Staff Machine Learning Engineer
Staff Machine Learning Engineer role focused on leading the development and architecture of computer vision and multimodal AI systems for enterprise customers, with a strong emphasis on technical leadership, mentorship, and driving production readiness and scalability.
ShipEngineeringHungaryJan '258
Senior Software Engineer
Senior Software Engineer to drive the modernization and evolution of a C++ Computer Vision library, including the development of new algorithms for Intelligent Document Processing. The role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions. The library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, and Multimodal models. The candidate will design and implement core library architecture, mentor team members, and collaborate across functions.
ServeEngineeringHungaryMar '257
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.
ServeDataEngineeringIndiaJan '257