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Principal Machine Learning Engineer (Tech Lead)

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Hungary

Offer summary

Qualifications:

MS or PhD in Computer Science, Engineering, or Mathematics, 10+ years of experience in Machine Learning/AI, Deep expertise in deep learning architectures, Strong programming skills in Python.

Key responsabilities:

Architect and implement document understanding models
Lead and mentor a team of engineers
Drive cross-functional collaboration
Design data pipelines for large-scale training

ABBYY Large https://www.abbyy.com/

1001 - 5000 Employees

See all jobs

Job description

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.

With a focus on customer-centric thinking, we're not just another vendor – we're a transformative force in the industry. By joining one of our Customer Excellence teams, you will have the chance to work with our portfolio of over 10,000 customers, including many Fortune 500 companies.

Job Responsibilities:

Technical Leadership & Innovation

Architect and implement state-of-the-art document understanding models, from conception to production deployment
Drive technical decision-making for ML infrastructure, model architecture, and deployment strategies
Establish best practices for model development, testing, and deployment workflows
Identify and evaluate emerging technologies and methodologies to maintain competitive advantage

Team & Project Leadership

Lead and mentor a team of senior machine learning engineers
Foster a culture of technical excellence, innovation, and continuous learning
Drive cross-functional collaboration with product, design, and infrastructure teams
Define technical roadmaps aligned with business objectives
Champion data privacy, security, and compliance standards

Infrastructure & Scale

Partner with infrastructure teams to design and optimize data pipelines for large-scale training
Architect solutions for efficient real-time and batch inference
Ensure robust monitoring and maintenance of production ML systems
Drive improvements in model performance, efficiency, and reliability

Job Requirements:

Education & Experience

MS or PhD in Computer Science, Engineering, Mathematics, or related field
10+ years of experience in Machine Learning/AI, with focus on Computer Vision
Proven track record of deploying ML models at scale in production environments

Technical Expertise

Deep expertise in modern deep learning architectures, particularly multimodal and multi-task networks
Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks
Extensive experience with cloud platforms and MLOps tools
Demonstrated expertise in building and optimizing large-scale data processing pipelines

Leadership & Communication

Proven ability to lead and mentor technical teams
Strong track record of driving technical decisions and innovation
Excellence in cross-functional collaboration and technical communication
Recognized thought leadership in machine learning and document understanding

This role offers the opportunity to shape the future of document understanding technology while leading a talented team of engineers. The ideal candidate will combine technical excellence with strategic thinking to deliver innovative solutions that drive business value.

Here are some of our local benefits:

Work from home, remotely, or hybrid
Partial compensation for glasses and lenses
Private health insurance
Volunteering Time Off (2 days/ year)
SZÉP Card for recreational activities
3 extra days/ month for 'sick leave' without doctors visit
Flexible working hours

Join ABBYY, and you will:

Love how you work

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.

Love whom you work with

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.

Love what you work on

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.