Senior Machine Learning Engineer, Model Training & Evaluation

Навыки

• Computer Vision
• Лидерство
• Machine Learning
• NLP
• Zapier / Make / n8n
• Решение задач
• Python

О компании и продукте

• As a Senior Machine Learning Engineer (Model Training & Evaluation) at ABBYY, you will own the end-to-end training and evaluation cycle for our document AI models.
• Working closely with the Principal Machine Learning Engineer, you will transform research direction into reliable, reproducible, and scalable experimentation pipelines , ensuring model improvements are measurable and production-ready.
• This role is ideal for engineers who thrive at the intersection of applied ML research and production-grade engineering , combining deep technical expertise with strong experimental rigor.
• 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

• Training Pipeline & Experimentation
• Own the end-to-end training pipeline, including data ingestion, orchestration, checkpointing, and result logging
• Execute large-scale experiments with strong emphasis on reproducibility and traceability
• Investigate training instabilities, loss anomalies, and performance gaps, providing structured analysis and hypotheses
• Implement and validate new optimization techniques and training objectives in collaboration with senior ML leadership
• Continuously improve pipeline efficiency to reduce iteration time while maintaining experiment quality
• Manage compute resources across parallel experiments, balancing throughput and cost efficiency
• Evaluation & Benchmarking
• Design and maintain comprehensive evaluation and benchmarking frameworks
• Define clear success metrics across accuracy, latency, memory usage, and domain coverage
• Build automated evaluation pipelines to detect regressions across model checkpoints
• Analyze results to identify patterns in model performance and quality trade-offs
• Partner with Data teams to ensure improvements in training data translate to measurable gains
• Maintain and evolve benchmarking methodologies aligned with industry best practices
• Infrastructure & Collaboration
• Partner with Platform Engineering on distributed training infrastructure and experiment tracking systems
• Develop internal tooling to support model analysis and research workflows
• Contribute to team standards around reproducibility, experiment tracking, and documentation
• Collaborate with Platform teams to support model deployment, optimization, and serving

Требования

• Education & Experience
• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 5+ years of experience in Machine Learning, Applied AI, or related areas
• Proven experience training and evaluating large-scale language and/or vision-language models
• Strong background in building evaluation frameworks and benchmarking systems
• Experience with model optimization or efficient training techniques
• Technical Expertise
• Deep understanding of model optimization and compression (e.g., quantization, pruning)
• Strong proficiency in Python and PyTorch , including distributed training frameworks (e.g., DeepSpeed, FSDP)
• Experience managing large-scale training runs (job scheduling, checkpointing, fault tolerance)
• Expertise in evaluation methodology and benchmark design
• Experience with experiment tracking and reproducibility practices
• Familiarity with vision-language model architectures and document AI challenges
• Leadership & Communication
• Proven ability to independently own complex technical workstreams
• Strong collaboration skills in cross-functional, research + engineering environments
• Rigorous problem-solving approach with focus on root cause analysis
• Clear and concise communication of technical findings and experimental results

Условия

• 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

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