Applied Scientist (Computer Vision)

Job SummaryWe 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 DutiesDevelop innovative machine learning algorithms. Implement advanced methods and technologies in model developmentAnalyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretationTune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracyProvide consultations and collaborate with colleagues from other departmentsReport progress and project achievements to managementExplore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processesEngage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the teamQualifications and Skills4+ years in machine learning (computer vision domain)Practical experience in at least one of the following problems: classification, detection, segmentationPython3, NumPy, scikit-learn, pandas, SciPyDeep learning frameworks: PyTorchExperience in deploying machine learning models to productionGood understanding of machine learning and deep learning conceptsGood written and spoken EnglishNice to havePractical experience with GANs, VAEsProbabilistic programming and bayesian frameworkModel optimization: pruning, quantization, knowledge distillationBasic understanding of web and client-server architectureasyncio, aiohttp, and other async libraries for back-endBasic understanding of Big Data, understanding of difference between MapReduce and in-memory processingAlgorithms, data structuresSQL, NoSQLDocker, Kubernetes, KubeflowС++, BashWe offer multiple benefits that includeThe environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team memberCompetitive salary packages with performance-based annual reviewsOpportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the companyEmployment via Contract of Employment (UoP) in complete alignment with Polish Labour LawGuaranteed paid vacation, public holidays, and medical leaves as per statutory regulationsContinuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classesComprehensive private medical insurance to supplement your standard NFZ coverage.