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Staff Machine Learning Engineer

abbyy Budapest, Hungary (Hybrid)

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Ghost-risk verdict

Some ghost-posting signals

  • open for 526 days (90+ without a fill is a strong ghost signal)
  • 1392 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

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.

Job Responsibilities

Technical Leadership & Architecture

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

Team Mentorship & Growth

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

Technical Implementation & Scale

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

Job Requirements

Education & Experience

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

Technical Expertise

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

Leadership & Communication

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.

Salary Range

The anticipated base salary range for this position is between 22,110,000 HUF and 26,950,000 HUF annually . Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority compared to others performing substantially similar work. There is no guarantee that an offer will be at the top of the posted range, as compensation decisions are based on a variety of factors including, but not limited to, skills, qualifications, and internal equity.

Here are some of our local benefits

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

#LI-MM1

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.

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