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Design, implement and optimise internal machine learning systems such as data collection, model training, evaluation, and serving.
Continuous learning - cutting-edge computer vision and machine learning algorithms.
You will join a regular study group covering new research papers and techs, to catch up the state of the art in this field.
You will learn and apply many back-end technologies, working with other talented engineers to come up with creative ways to improve the machine learning pipelines.
Operate large-scale systems with infrastructure engineers.
You will design and implement effective performance metrics to monitor how the machine learning system is performing. You will learn many modern techniques for building and maintaining distributed systems.
Experience with implementing computer vision or machine learning algorithms in practice at scale.
Proficiency in programming Python, Go, C or C++.
Write clean and maintainable code with design documents and unit tests.
Aptitude to learn fast and adapt to new tech
Experience in container technologies like Docker and Kubernetes.
Contributions to open-source projects.
Experience with designing data-intensive applications.
Records of active contribution to technical communities.