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.
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