Keywee is growing fast, and we’re looking for talented senior full stack developer to come in and help us take our products development to the next level. You will be joining a core team that moves fast and you’ll own a substantial portion of our backend and frontend code base. You’ll drive engineering research, planning, implementation, and testing activities. You will play a significant role shaping our future and you’ll have the opportunity to learn and grow with the team and the company.
Roles and Responsibilities:
Lead full development lifecycle of web based applications including the definition, software architecture, design, implementation and testing.
Be deeply invested and involved with all aspects of running a successful SaaS startup, by intimate engagement with our customers for getting direct feedback and adjust our solution accordingly.
Software engineer in our team should have considerable experience with web environment technologies and software programming.
Members of our team should be talented, curious, eager to learn, motivated, independent, responsible, constantly seeking to improve and excel.
7+ years of software hands-on programming.
5+ years of web technologies hands-on development.
B.S. in Computer Science (cum-laude advantage).
Database intimate familiarity and practice.
Development in Linux environment.
Proven capabilities of building scalable architecture and robust design.
Please send your CV to: firstname.lastname@example.org
Senior Machine Learning Engineer
We’re a small team of motivated developers and data scientists building the first of its kind global system for content creation and distribution.
Our system is web-scale and tasked with connecting the world’s content with the world’s audiences, in real-time, optimized for both audience and publisher interests as well as the efficiency of delivery channels. Many of the world’s biggest publishers and brands are already using our service to find the right audiences for their content and to drive business results.
We’re seeking a Senior Data Science and Machine Learning Engineer to join our core team of exceptional people. If you’re up for a global scale challenge with great reward, come join us!
Roles and Responsibilities:
Research, Design, Implement and Deliver analytics-based algorithms to production, in agile dev cycles.
Take responsibility for continuously delivering and integrating new data-driven features into the system in the fields of Predictive Analytics, Content Generation, Content Analysis, Text Mining, Fintech, Non-Supervised, Supervised and Semi-Supervised Machine Learning, Case-Based-Reasoning, Algo-Bidding, RTB and Algo-Trading.
Design and implement full data mining and machine learning cycles<>:
Identify and integrate data sources
Build mechanisms for data aggregation
Plan, implement and optimize feature engineering
Build, measure and improve models and algorithms
Conduct research and statistical analysis to suggest improvements and new features to expand the system’s capabilities.
MSc with honors in Computer Science, Software Engineering or related field, with emphasis on extensive algorithmic background in the fields of Data Mining, Machine Learning, Data Science.
5+ years industry experience as algorithms engineer, data scientist, ML engineer or similar experience delivering complex features to production.
Ability to work in a fast-paced delivery-driven culture.
High proficiency in python (or some other functional programming language with strong data science foundations)