Machine Learning Scientist
WeHire is proudly based in Downtown Toronto, Canada at the center of an exciting AI ecosystem. WeHire specialized in providing unique talent solutions for employers, inspiring career consulting service for job seekers.
We are looking for a Machine Learning Scientist to join our clients’ team: an Artificial intelligence application firm headquartered in Toronto with a distribution team across Asia that is focused on building next generation applications using Artificial intelligence.
Successful candidate will work closely with machine learning and quantum computing scientists to pursue cutting edge research and development that are aligned with the long-term QI goal. The candidate will focus on the research and development of computer vision and machine learning algorithms toward implementation, testing, deployment and evaluation. You are expected to have extensive knowledge of machine learning algorithms and to be able to effectively deliver them to various industry application levels with other members of the team.
Duties and Responsibilities:
Research, develop and validate Quantum Intelligence or Machine Learning models to generate recommendations, alerts and other client insights, and to build client-facing business processes;
Work closely with product, engineering, and research to take early ML prototypes all the way to demos and products;
Consult with engineers and product leaders on best practices for integrating ML into their products with quantum computing;
Write production quality high-performance machine learning code;
Apply machine learning techniques to internal data and compare established baselines;
Work with our research team to advance statistical analysis in data processing and to develop processes, monitoring and testing automation frameworks, thus to ensure data, insights, and model quality while delivering analytical insights into the product;
Design and implement experiments to test and improve the quality of machine learning algorithms.
Qualifications and Skills:
3+ years of applicable experience in industry or academia;
Master’s Degree in Machine Learning, Applied Statistics, Operational Research, Computer Science, or a related quantitative discipline. PhD is a plus to have;
Deep understanding of statistical modelling and machine learning;
Knowledge of quantum computing;
Demonstrated success in machine learning application to practical problems;
Grounding in machine learning theory and recent advances (ex. Deep Learning);
Pragmatic orientation to build ML solutions that work in the field;
Experience in design, training, validation and evaluation of machine learning models;
Understanding of issues around ground truths and training sets for ML, including human judgment and A/B testing;
Experience with machine learning frameworks – TensorFlow, Scikit, MLPack, SparkMLib, Caffe, etc.
Experience with Spark, big data processing, Hadoop, etc.
Hands-on experience with Java, Python and/or C++;
Knowledge of Matlab, R and other tools;
Demonstrated experience in implementing machine learning algorithms, probabilistic techniques and deep learning;
Hands-on experience in modern machine learning methods (ex. generative models);
Self-motivated, proactive and flexible with excellent problem-solving skills;
Proficient in Chinese language is an asset.