ABBYY~20d ago

Staff Machine Learning Engineer

BudapestHybridlead

Data ScienceOtherMachine Learning EngineerStaff Machine Learning EngineerData & AI

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Quick Summary

Requirements Summary

Education & Experience MS or PhD in Computer Science, Engineering, Mathematics,

Technical Tools

Data ScienceOtherMachine Learning EngineerStaff Machine Learning EngineerData & AI

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.

Responsibilities

~1 min read

Guide architectural decisions for computer vision and multimodal systems
Drive implementation of novel ML approaches and best practices
Lead technical design reviews and architecture discussions
Establish patterns for model development and deployment
Evaluate and introduce new technologies and methodologies
Ensure technical excellence across ML initiatives

Mentor senior and junior machine learning engineers
Foster a culture of engineering excellence and knowledge sharing
Guide career development of team members
Lead technical discussions and learning sessions
Review and provide feedback on technical approaches
Help build and maintain high engineering standards

Lead development of complex ML systems and architectures
Guide optimization of model performance and efficiency
Establish frameworks for model evaluation and validation
Drive improvements in development and deployment processes
Ensure production readiness and system reliability
Architect scalable ML solutions

Requirements

~1 min read

MS or PhD in Computer Science, Engineering, Mathematics, or related field
8+ years of experience in Machine Learning/AI
Deep expertise in computer vision and deep learning
Proven track record of leading successful ML projects
Experience mentoring engineers and driving technical excellence

Expert knowledge of computer vision and multimodal architectures
Deep understanding of ML system design and scalability
Strong programming skills in Python and modern ML frameworks
Extensive experience with production ML systems
Proven ability to solve complex technical challenges
Strong background in performance optimization

Demonstrated ability to mentor and grow engineers
Strong track record of driving technical decisions
Excellence in technical communication and documentation
Experience leading architectural discussions
Ability to influence and drive consensus
Track record of fostering team growth

This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.

What We Offer

~1 min read

✓Medical benefits after 90 days

✓SZÉP Card allowance for recreational activities

✓Volunteering Time Off (VTO)

✓Company paid sick time up to 10 days per year

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.

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.

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.