Applied Scientist (Computer Vision)
⚲ Wrocław, Brno
Do uzgodnienia
Wymagania
- Computer Vision
- Python
- PyTorch
- Deep Learning
- C++
Opis stanowiska
Job Summary
We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.
You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.
Responsibilities and Duties
• Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development
• Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation
• Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy
• Provide consultations and collaborate with colleagues from other departments
• Report progress and project achievements to management
• Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes
• Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team
Qualifications and Skills
• 4+ years in machine learning (computer vision domain)
• Practical experience in at least one of the following problems: classification, detection, segmentation
• Python3, NumPy, scikit-learn, pandas, SciPy
• Deep learning frameworks: PyTorch
• Experience in deploying machine learning models to production
• Good understanding of machine learning and deep learning concepts
• Good written and spoken English
Nice to have
• Practical experience with GANs, VAEs
• Probabilistic programming and bayesian framework
• Model optimization: pruning, quantization, knowledge distillation
• Basic understanding of web and client-server architecture
• asyncio, aiohttp, and other async libraries for back-end
• Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
• Algorithms, data structures
• SQL, NoSQL
• Docker, Kubernetes, Kubeflow
• С++, Bash
We offer multiple benefits that include
• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.
We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.
You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.
Responsibilities and Duties
• Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development
• Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation
• Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy
• Provide consultations and collaborate with colleagues from other departments
• Report progress and project achievements to management
• Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes
• Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team
Qualifications and Skills
• 4+ years in machine learning (computer vision domain)
• Practical experience in at least one of the following problems: classification, detection, segmentation
• Python3, NumPy, scikit-learn, pandas, SciPy
• Deep learning frameworks: PyTorch
• Experience in deploying machine learning models to production
• Good understanding of machine learning and deep learning concepts
• Good written and spoken English
Nice to have
• Practical experience with GANs, VAEs
• Probabilistic programming and bayesian framework
• Model optimization: pruning, quantization, knowledge distillation
• Basic understanding of web and client-server architecture
• asyncio, aiohttp, and other async libraries for back-end
• Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
• Algorithms, data structures
• SQL, NoSQL
• Docker, Kubernetes, Kubeflow
• С++, Bash
We offer multiple benefits that include
• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.
🔍 Dekoder Ogłoszenia
🔴
You can choose to focus on either Edge or Cloud solutions.
Chociaż jest opcja wyboru, faktyczne przydzielenie może zależeć od potrzeb zespołu i projektu, a nie od preferencji kandydata.
🔴
writing a paper on your results.
Może to oznaczać publikację w recenzowanym czasopiśmie naukowym, ale równie dobrze może chodzić o wewnętrzny raport lub dokumentację.
🟡
Implement advanced methods and technologies in model development
Może oznaczać pracę z najnowszymi, przełomowymi technologiami, ale równie dobrze może być to po prostu stosowanie standardowych, zaawansowanych technik ML.
🟡
Explore and evaluate new technologies in the field of machine learning.
Część pracy może polegać na badaniach i testowaniu nowych rozwiązań, co niekoniecznie przekłada się na bezpośrednie wdrażanie ich w produkcyjnych procesach.
🟡
Engage in continuous self-im
Jest to niedokończony zwrot, który najprawdopodobniej oznacza 'continuous self-improvement' (ciągłe samodoskonalenie), co jest standardowym oczekiwaniem w IT, ale może też sugerować brak formalnych szkoleń i poleganie na samodzielnej nauce.