Job Details
As a critical role in Science’s success, we are looking to hire Researcher/ Engineer to join our team. The position will work closely to architect efficient APIs and data pipelines around our predictive algorithms. Having an understanding of key Machine Learning concepts as well as a strong software background makes the Cinnamon a lynchpin of our AI-First software team.
Both senior candidates (i.e., with years of experience / leadership) 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 AI Researcher
- • Analysing problem to solve by working closely with Production team. Output is the Solution Proposal
- • Analysing data received to deeply understand the problem and visualize solutions to build up core engines of Cinnamon. Output is the Algorithm Specs Document – Pre-proceed and generate data if needed
- • Pre-proceed and generate data if needed
- • Quickly build, evaluate, adjust and deploy highly effective AI algorithm, basing on focused problem and solution concept
- • Working closely with Production engineers to deploy AI modules in production projects
For AI Engineer
- • Analysing problem to solve by working closely with system engineers, data analist and clients. Output is the Solution Proposal
- • Analysing data received to deeply understand the problem and visualize solutions for production projects. Output is the Algorithm Specs Document – Pre-proceed and generate data if needed
- • Pre-proceed and generate data if needed
- • Quickly build, evaluate, adjust and deploy highly effective AI algorithm, basing on focused problem and solution concept
- • Working closely with system engineer to connect AI module to the wholesystem
Job Requirements
Preferred Qualifications (Junior)
- • Skills with Python, Java, C++, or other programming language, as well as with R, MATLAB or similar scripting language
- • Ability to relate to and solve business problems through machine learning,data mining and statistical algorithms
- • Strong desire to push your ideas into production, overcoming obstacles
- • Have experiences with some of 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 learning, 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
Preferred Qualifications (Senior)
- • 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 architecturalconcepts 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.
- • Skilled at data visualization and presentation.
- • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
- • Energy and willingness to formulate, test, and discard or revise many hypotheses to help Cinnamon improve product.
- • Strong publication record is a plus.
- • Excellent programming skills with Python, C/C++. CUDA or other GPU is a plus.
- • Experience in reinforcement learning, time series (recurrent neural networks),generative models, and computer graphics is a plus.
- • Passionate to build great product.
We offer
- – Attractive compensation and benefits.
- – Employee centric culture and a belief that we should hire those who are good at what they do and then give them the tools they need to achieve success, further their expertise and grow their career.
- – A commitment to learning and growth and easy ways to achieve both including a training budget, education assistance, mentorship programs and collaborative learning sessions.
- – A collaborative environment that fosters communication via slack and an open-door policy.