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
As a Senior Machine Learning Engineer (Model Training & Evaluation) at ABBYY, you will own the end-to-end training and evaluation cycle for our document AI models.
Working closely with the Principal Machine Learning Engineer, you will transform research direction into reliable, reproducible, and scalable experimentation pipelines, ensuring model improvements are measurable and production-ready.
This role is ideal for engineers who thrive at the intersection of applied ML research and production-grade engineering, combining deep technical expertise with strong experimental rigor.
Key Responsibilities
Training Pipeline & Experimentation
Implement and validate new optimization techniques and training objectives in collaboration with senior ML leadership
Continuously improve pipeline efficiency to reduce iteration time while maintaining experiment quality
Manage compute resources across parallel experiments, balancing throughput and cost efficiency
Evaluation & Benchmarking