PayMetric Labs
Artificial Intelligence & Machine Learning Poland · 2026

AI / ML Engineer vs AI Research Scientist: Salary & Career Benchmarks in Poland

For Poland tech professionals deciding between these two career paths, negotiating between competing offers, or planning a role transition. Median salaries, pay ranges, year-on-year growth, skills that boost pay, remote flexibility, and career path differences.

Pays more (median)

AI Research Scientist

by PLN19K at mid-level

Higher demand

AI / ML Engineer

Extreme vs High

More remote-friendly

AI / ML Engineer

68% vs 55%

AI / ML Engineer vs AI Research Scientist Salary in Poland

AI / ML Engineer

PLN287K

Median salary · 2026

PLN287K
PLN253KPLN330K
PLN282KPLN290K (P25–P75)+14.8%
↑ Higher median

AI Research Scientist

PLN306K

Median salary · 2026

PLN306K
PLN288KPLN330K
PLN300KPLN309K (P25–P75)+16.0%
Metric
AI / ML Engineer
AI Research Scientist
Diff
Median Salary
PLN287K
PLN306K
PLN19K
Lower Range (P25)
PLN282K
PLN300K
PLN18K
Upper Range (P75)
PLN290K
PLN309K
PLN19K
Top of Market
PLN330K
PLN330K
Equal
YoY Pay Growth
+14.8%
+16.0%
Demand Level
Extreme
High
Top Skill Boost
PyTorch / TensorFlow+18%
Deep learning research (PyTorch, JAX)+21%
Remote Flexibility
68%
55%
Data Confidence
High ConfidenceHigh Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.
High ConfidenceHigh Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.

Skills that push pay to the top of the range

Median salary tells you what most people earn. The skills below are what push offers toward the upper range and beyond, based on 2026 job postings in Poland.

AI / ML Engineer

PyTorch / TensorFlow+18% to offer
MLOps tooling (MLflow, Kubeflow)+15% to offer
Cloud ML platforms (SageMaker, Vertex AI)+13% to offer

AI Research Scientist

Deep learning research (PyTorch, JAX)+21% to offer
Large-scale distributed training+17% to offer
Published research track record+15% to offer

Career velocity: where do people go next?

Understanding where each role leads is often the deciding factor in a career move. The paths below reflect the most common progressions observed in Poland's tech market.

AI / ML Engineer

Extreme demandWarsaw and Kraków product teams building AI-powered features, led by employers such as Microsoft and Nokia

AI Research Scientist

High demandWarsaw and Kraków product teams building AI-powered features, led by employers such as Samsung R&D Poland and Allegro

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AI / ML Engineer vs AI Research Scientist in Poland: common questions answered

1

Which role pays more in Poland: AI / ML Engineer or AI Research Scientist?

In Poland, AI Research Scientist roles typically command a higher median salary than AI / ML Engineer positions. According to our 2026 live benchmark data, a mid-level AI Research Scientist earns a median salary of PLN306K, whereas a AI / ML Engineer brings in roughly PLN287K (a gap of PLN19K at the median).

Seniority, tech stack, and location all move this gap. Senior practitioners in either discipline can exceed the upper range through specialist skills. See the skills premium section below for the specific certifications and tools that push offers to the top of the range.

2

What are the main daily differences between a AI / ML Engineer and a AI Research Scientist?

While both positions are vital to a modern tech organisation, AI / ML Engineer and AI Research Scientist have fundamentally different daily workflows.

AI / ML Engineer focuses primarily on building and deploying machine learning models into production systems, spanning both model development and the engineering needed to serve them reliably. Day-to-day work revolves around training and fine-tuning models, building feature pipelines, containerising models for deployment, setting up monitoring for model drift, and collaborating with product teams on integration.

AI Research Scientist focuses on conducting original research into new model architectures, training techniques, or evaluation methods, and publishing or productionising findings. Their time is spent designing experiments, running large-scale training jobs, reading and writing research papers, and collaborating with engineering teams to translate findings into deployable systems.

3

How easy is it to transition from AI / ML Engineer to AI Research Scientist (or vice versa)?

Transitioning between these two paths is achievable but requires targeted upskilling.

Moving from AI / ML Engineer to AI Research Scientist:

Moving from AI Research Scientist to AI / ML Engineer:

Neither path requires starting from scratch. Professionals in both roles share underlying technology fluency; the gap is usually domain knowledge and specific tooling rather than core engineering fundamentals.

4

Which role has higher demand in the current Poland job market?

In Poland in 2026, both roles are seeing demand, but with different drivers.

AI / ML Engineer demand is extreme, particularly in Warsaw and Kraków product teams building AI-powered features, led by employers such as Microsoft and Nokia. AI Research Scientist demand is high, concentrated in Warsaw and Kraków product teams building AI-powered features, led by employers such as Samsung R&D Poland and Allegro.

5

Do AI / ML Engineer or AI Research Scientist roles offer better remote and hybrid working flexibility?

Workspace flexibility significantly impacts total compensation value in Poland.

AI / ML Engineer roles score 68% on our remote-friendliness index (High). This is because model integration and evaluation work is tool-driven and remote-friendly, a norm that Poland's IT sector has broadly kept in place thanks to the widespread B2B (umowa B2B) contracting model, which gives both employers and specialists more flexibility than a standard umowa o pracę. Where in-office attendance is required, it is typically driven by product alignment sessions and cross-functional AI roadmap planning, which larger employers with a Kraków or Wrocław global capability centre are more likely than smaller Polish software houses to formalise into a fixed hybrid schedule.

AI Research Scientist roles score 55% (Moderate). Model integration and evaluation work is tool-driven and remote-friendly, a norm that Poland's IT sector has broadly kept in place thanks to the widespread B2B (umowa B2B) contracting model, which gives both employers and specialists more flexibility than a standard umowa o pracę is the primary driver of flexibility. When office days are required, it is usually for product alignment sessions and cross-functional AI roadmap planning, which larger employers with a Kraków or Wrocław global capability centre are more likely than smaller Polish software houses to formalise into a fixed hybrid schedule.

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