ML Engineer
⚲ Warszawa, Kraków
26 880 - 36 960 PLN netto (B2B)
Wymagania
- Machine Learning
- Python
- Inference frameworks
- Data Pipelines
- C
- C++
Opis stanowiska
Industry: Technology solutions - consumer electronics, software, streamingClient: global enterpise, Swedish entity
Work model: full time, hybird 3 days/week on-site from Warsaw (Rondo Daszyńskiego) or Krakow (Equal Business Park) office
Project language: English
Project length: ASAP - September 30th 2026
Start: ASAP / 1 week notice max
Assignment type: B2B
Remuneration: up to 220 PLN/h net + VAT
Summary: The ML Engineer role is primarily focused on the end-to-end development of machine learning models, encompassing data ingestion, model training, evaluation, and deployment processes. This role is crucial in enhancing the organization’s machine learning capabilities and delivering improved models for various applications.
Responsibilities:
• Enhance encoder models to boost model capacity and resolution.
• Develop multi-classification support for diverse map-feature attributes by establishing a complete data pipeline, training models, and conducting evaluations.
• Port a large-scale inference pipeline to C, and develop a CLI along with a frontend for job management, as well as create a plugin interface for results visualization.
• Migrate CoreML inference to MLX for cross-OS model execution.
• Train a confidence and ranking model based on outputs from existing autoregressive models.
• Implement curriculum training by ranking tasks based on difficulty and automating the progressive scheduling of training data.
Key Requirements:
• Proficient in Python with experience in the full model development lifecycle (data pipelines, training, evaluation, deployment).
• Strong understanding of encoder architectures, autoregressive models, or self-supervised pre-training methodologies.
• Familiarity with CoreML, MLX, or similar inference frameworks.
• Experience in building data pipelines through to model serving and frontend integration.
Nice to Have:
• Proficiency in C or C++ for inference porting tasks.
• Knowledge of curriculum learning or training-data scheduling techniques.
Work model: full time, hybird 3 days/week on-site from Warsaw (Rondo Daszyńskiego) or Krakow (Equal Business Park) office
Project language: English
Project length: ASAP - September 30th 2026
Start: ASAP / 1 week notice max
Assignment type: B2B
Remuneration: up to 220 PLN/h net + VAT
Summary: The ML Engineer role is primarily focused on the end-to-end development of machine learning models, encompassing data ingestion, model training, evaluation, and deployment processes. This role is crucial in enhancing the organization’s machine learning capabilities and delivering improved models for various applications.
Responsibilities:
• Enhance encoder models to boost model capacity and resolution.
• Develop multi-classification support for diverse map-feature attributes by establishing a complete data pipeline, training models, and conducting evaluations.
• Port a large-scale inference pipeline to C, and develop a CLI along with a frontend for job management, as well as create a plugin interface for results visualization.
• Migrate CoreML inference to MLX for cross-OS model execution.
• Train a confidence and ranking model based on outputs from existing autoregressive models.
• Implement curriculum training by ranking tasks based on difficulty and automating the progressive scheduling of training data.
Key Requirements:
• Proficient in Python with experience in the full model development lifecycle (data pipelines, training, evaluation, deployment).
• Strong understanding of encoder architectures, autoregressive models, or self-supervised pre-training methodologies.
• Familiarity with CoreML, MLX, or similar inference frameworks.
• Experience in building data pipelines through to model serving and frontend integration.
Nice to Have:
• Proficiency in C or C++ for inference porting tasks.
• Knowledge of curriculum learning or training-data scheduling techniques.
🔍 Dekoder Ogłoszenia
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end-to-end development of machine learning models
Oznacza to, że będziesz odpowiedzialny za cały cykl życia modelu, od danych po wdrożenie, co może być bardzo szerokim zakresem obowiązków.
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ASAP - September 30th 2026
Projekt jest długoterminowy, ale data końcowa może być elastyczna lub projekt może zostać zakończony wcześniej, jeśli nie będzie dalszych potrzeb.
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up to 220 PLN/h net + VAT
Podana stawka jest maksymalna i nie gwarantuje jej osiągnięcia, a faktyczne wynagrodzenie zależy od negocjacji i doświadczenia.
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Port a large-scale inference pipeline to C
Może oznaczać konieczność pracy z bardzo starym lub złożonym kodem, który wymaga optymalizacji i refaktoryzacji.
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Proficient in Python with experience in the f
Ogłoszenie jest niekompletne w kluczowym punkcie wymagań technicznych, co może sugerować pośpiech lub brak dopracowania oferty.