Deep Learning Engineer at SQUAD (Kyiv, Ukraine)

Job Summary

As a member of our Research Team, you will be engaged in an iterated process of data preparation, prototyping and/or implementation, measurement, and deploying your solution together with the back-end team. You will work closely with members of our Research and Engineering teams to improve models and bring products to the market based on your research.

Qualifications and Skills

• 2+ 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:TensorFlow or PyTorch is a must; Keras is plus.
• 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

We offer multiple benefits that include

• Working on impactful security products and the opportunity to use them personally
• Competitive salary and perks
• PE accounting and support
• WFH and remote working mode possibility. Partial furniture compensation
• Social package, including medical insurance available from the start date and sports compensation after the trial period
• 18 paid vacation days per year, paid public holidays according to the Ukrainian legislation
• Educational possibilities like corporate courses, knowledge hubs, and free English classes. Semiannual performance review
• Free meals, fruits, and snacks when working in the office.