Applied Scientist (Computer Vision)

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

3+ 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 compensation and perks

Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company

Gig-contract

21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

Medical insurance is provided from day one. Sick leaves and medical leaves are available

Remote working mode is available within Ukraine only

Free meals, fruits, and snacks when working in the office.