Senior Machine Learning Engineer
Back to Jobs
ABBYYGet Smart Job AI Coach in the appFree on iOS and Android 





Senior Machine Learning Engineer
Location
Budapest, Hungary (Hybrid)
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
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.
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:**
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 intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.
We are seeking a talented Senior Machine Learning Engineer to develop and optimize next-generation multimodal understanding models, with a strong focus on computer vision. This hands-on technical role combines deep implementation expertise with project execution. The ideal candidate will implement and optimize ML solutions while collaborating across functions to deliver production-ready systems.
**Job Responsibilities:**
*Technical Leadership & Architecture*
- Guide architectural decisions for mixed (VLM, LLM, DNN) computer vision and multimodal systems.
- Drive the implementation of novel ML approaches, engineering best practices, and new technologies.
- Lead technical design reviews and architecture discussions.
- Establish standards and patterns for model development, evaluation, deployment, and production readiness.
- Architect scalable, reliable, and high-performance ML solutions.
*Technical Implementation & Delivery*
- Lead the development of complex ML systems and architectures in the field of Intelligent Document Processing (IDP).
- Drive optimization of model performance, efficiency, and scalability.
- Improve ML development, validation, deployment, and operational processes.
- Ensure production readiness, system reliability, and technical excellence across ML initiatives.
*Team Mentorship & Leadership*
- Mentor and develop senior and junior machine learning engineers.
- Foster a culture of engineering excellence, knowledge sharing, and continuous learning.
- Guide technical decision-making and provide feedback through design reviews.
- Support the career growth of team members while maintaining high engineering standards.
**Job Requirements:**
*Education & Experience*
- MS or PhD in Computer Science, Engineering, Mathematics, or a related field.
- 8+ years of experience in Machine Learning/AI.
- Deep expertise in computer vision, deep learning, and multimodal AI (VLMs/LLMs).
- Proven track record of leading successful ML projects and delivering production ML systems.
- Experience mentoring engineers and driving technical excellence.
*Technical Expertise*
- Expert knowledge of computer vision, multimodal architectures, and modern ML frameworks.
- Deep understanding of ML system design, scalability, and performance optimization.
- Strong programming skills in Python.
- Proven ability to solve complex technical challenges and architect scalable ML solutions.
*Leadership & Communication*
- Demonstrated ability to mentor and grow engineering teams.
- Strong track record of driving technical decisions and architectural direction.
- Excellent technical communication and documentation skills.
- Ability to influence stakeholders and build consensus across teams.
This role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.
**Salary Range:**
The anticipated base salary range for this position is between **17,160,000 HUF and 20,900,000 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.*
Key Responsibilities
- Guide architectural decisions for mixed computer vision and multimodal systems.
- Drive implementation of novel ML approaches and engineering best practices.
- Lead technical design reviews and architecture discussions.
- Establish standards for model development, evaluation, and production readiness.
- Lead development of complex ML systems in Intelligent Document Processing.
- Optimize model performance, efficiency, and scalability.
- Mentor and develop senior and junior machine learning engineers.
- Foster a culture of engineering excellence and continuous learning.
Requirements
- MS or PhD in Computer Science
- Engineering
- Mathematics
- or a related field
Skills Required
Machine LearningArtificial IntelligenceComputer VisionDeep LearningMultimodal AIVLMsLLMsPythonML System DesignPerformance OptimizationLeadershipMentorshipTechnical CommunicationDocumentationStakeholder InfluenceConsensus Building
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
- Paid parental leave
- Flexible working hours
- Remote and hybrid working options
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.

Senior Machine Learning Engineer, Health
WHOOP
150,000–210,000 / Year
Full-timeWork from Office
BostonSenior

Senior Machine Learning Engineer
Jobgether
161,000–273,000 / Year
Full-timeEasy applyWork from Home
USSenior

Senior Machine Learning Engineer
Jobgether
145,000–250,000 / Year
Full-timeWork from Home
USSenior

Senior Machine Learning Engineer
Breezy HR
Full-timeWork from Office
BrackenfellSenior

Senior Machine Learning Engineer
DailyPay
190,000–250,000 / Year
Full-timeEasy applyWork from Home
NYC HeadquartersSenior
Senior Machine Learning Engineer
NVIDIA
184,000–356,500 / Year
Full-timeWork from Office
USSenior