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

Навыки

• Computer Vision
• Data Quality
• Лидерство
• Machine Learning
• MLOps
• NLP
• Zapier / Make / n8n

О компании и продукте

• 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 .
• 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.

Задачи

• 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

Требования

• 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
• Weekly wellness sessions to support your physical and mental well-being

Условия

• Comprehensive medical, accidental, and life insurance

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