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

We are seeking a Principal Machine Learning Engineer (Tech Lead Manager) to lead ABBYY's Document AI Data team, one of the company's most strategic and high-impact engineering groups.

This role combines hands-on technical leadership with people management, owning both the architecture and roadmap for how ABBYY builds high-quality training data at scale, as well as the growth and performance of the team delivering it.

You will operate at the center of ABBYY's document AI strategy—defining how training data is created, validated, and scaled to power next-generation large language and vision-language models.

Key Responsibilities

Technical Leadership & Strategy

Own the end-to-end technical strategy for the Document AI data platform, spanning:
AI-assisted annotation
Synthetic data generation
Document understanding pipelines
Define architectural principles that unify multiple data workflows into a scalable, cohesive platform
Establish and operationalize standards for high-quality training data in collaboration with Modeling teams
Drive the development of data quality evaluation frameworks, including metrics for coverage, fidelity, and performance
Identify and evaluate emerging AI technologies to maintain ABBYY's competitive edge
Make hands-on technical contributions to critical architectural and pipeline decisions

Team & People Leadership

Lead, mentor, and grow a team of Senior Machine Learning Engineers
Own hiring strategy and execution, including role definition, interview processes, and offer decisions
Drive performance management, career development, and growth planning
Foster a culture of technical rigor, curiosity, and collaboration
Represent team priorities, roadmap, and resourcing needs to senior leadership
Build strong partnerships with peer leaders across Modeling, Platform, and Data Operations teams

Cross-Functional Alignment & Delivery

Partner with Platform teams on model hosting and inference requirements for large-scale data workflows
Collaborate with Modeling teams to translate model training needs into data strategies and priorities
Work with Data Operations to build feedback loops between automated annotation and human validation
Own delivery accountability, including roadmap planning, milestone tracking, and escalation management
Champion best practices for data privacy, compliance, and responsible AI across all data processes

Qualifications

Education & Experience

MS or PhD in Computer Science, Engineering, Mathematics, or related field
10+ years of experience in Machine Learning / AI, with focus on:
Large Language Models (LLMs)
Vision-Language Models (VLMs)
Large-scale data systems
Proven track record as both a technical leader and people manager
Experience building and scaling AI-driven data pipelines in production
Demonstrated success hiring and developing senior engineering talent

Technical Expertise

Deep expertise in LLMs and VLMs, including prompting, fine-tuning, and evaluation for structured tasks
Strong understanding of training data quality principles (distribution, diversity, and validation)
Proven ability to architect large-scale data platforms processing millions of documents
Strong programming skills in Python with experience in PyTorch or similar frameworks
Experience with cloud platforms, MLOps tooling, and pipeline orchestration
Familiarity with document AI systems, layout analysis, and real-world document variability

Leadership & Communication

Proven ability to lead and inspire high-performing engineering teams
Strong track record of making long-term architectural decisions
Excellent cross-functional collaboration with Engineering, Product, and Operations
Ability to translate complex technical tradeoffs into clear strategic direction
Experience building teams in ambiguous, fast-scaling environments

Here are some of our local benefits:

Comprehensive medical, accidental, and life insurance
Weekly wellness sessions to support your physical and mental well-being
A generous paid time off policy

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.

Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager)