Applied Scientist (Computer Vision)

Location: Remote within Poland; Wrocław, Poland

Company

hirify.global develops motion detection features for Cloud and Edge environments.

What you will do

• Develop machine learning algorithms and advanced model-development methods for motion detection.
• Set hypotheses, gather experimental data, train and validate ML models, and write research papers on the results.
• Analyze large datasets, identify patterns and correlations, and visualize research results.
• Tune hyperparameters and optimize models for performance and accuracy, including deployment to production.
• Evaluate new machine learning technologies, implement suitable ideas in production, and collaborate with colleagues from other departments.
• Report progress to management and mentor junior colleagues.

Requirements

• 4+ years of experience in machine learning, specifically in computer vision.
• Practical experience with at least one of classification, detection, or segmentation.
• Python 3, NumPy, scikit-learn, pandas, and SciPy.
• PyTorch and a good understanding of machine learning and deep learning concepts.
• Experience deploying machine learning models to production.
• Good written and spoken English.

Nice to have

• Experience with GANs, VAEs, probabilistic programming, Bayesian frameworks, pruning, quantization, or knowledge distillation.
• Understanding of web and client-server architecture, asyncio, aiohttp, and other asynchronous backend libraries.
• Understanding of Big Data, including the difference between MapReduce and in-memory processing.
• Algorithms and data structures; SQL and NoSQL.
• Docker, Kubernetes, and Kubeflow.
• C++ and Bash.

Culture & Benefits

• Equal-opportunity environment with a transparent, value-based culture and an individual approach to team members.
• Competitive salary package with performance-based annual reviews, plus performance and loyalty bonuses.
• Employment via a Contract of Employment (UoP) aligned with Polish Labour Law.
• Paid vacation, public holidays, and medical leave according to statutory regulations.
• Internal knowledge hubs, corporate courses, free English classes, and private medical insurance supplementing NFZ coverage.