Cinnamon

Tóm tắt công việc

The position will work closely to architect efficient APIs and data pipelines around our predictive. This is an exciting opportunity for those who want to enjoy R&D and be challenged and grow in the field of AI-First software and product development. Along the way this role will contribute to game-changing products for the multi-trillion-dollar industries.

Both senior and junior candidates are welcome to apply; we have and will offer positions appropriate to expertise and level of experience.

*Responsibilities and Performance Objectives:

For Researcher:
• Analysing problem to solve by working closely with Production team. The output is the Solution Proposal.
• Analysing data received to deeply understand the problem and visualize solutions to build up core engines of Cinnamon. The output is the Specs Document.
• Pre-proceed and generate data if needed.
• Quickly build, evaluate, adjust and deploy highly effective, based on focused problem and solution concept.
• Working closely with Production engineers to deploy modules in production projects.

For Engineer:
• Analysing problem to solve by working closely with system engineers, data analyst and clients. The output is the Solution Proposal.
• Analysing data received to deeply understand the problem and visualize solutions for production projects. The output is the Specs Document.
• Pre-proceed and generate data if needed.
• Quickly build, evaluate, adjust and deploy highly effective, based on focused problem and solution concept.
• Working closely with system engineer to connect modules to the whole system.

[Junior Levels]
• Skills with Python, C++ or other programming languages, as well as with R, MATLAB or similar scripting languages.
• Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
• Have experiences with deep learning packages (Tensorflow, Keras, Pytorch, Caffe, Theano).
• Background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, graphical models, feature extraction and analysis, supervised analyst, in particular discriminative methods.
• An understanding of machine learning, algorithms and computational complexity.
• Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment.
• Apply machine learning, algorithms to resolve project challenge.

[Senior Levels]
• In-depth expertise in deep learning, statistical machine learning, computer vision, and algorithms.
• Theory and practice of Design of Experiments and statistical analysis of results.
• Technical fluency; comfort understanding and discussing architectural
concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
• Familiar with the techniques and limitations of observational studies.
• Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
• predictive. publication record is a plus.
• Experience in reinforcement learning, time series (recurrent neural networks), generative models, and computer graphics is a plus.
• Passionate to build a great product.