machine learning engineer

machine learning engineer Vancouver

DataCloud
Full Time Vancouver 137000 - 90000 CAD ANNUAL Today
Job description

The Role

MinePortal from DataCloud is the groundbreaking cloud-based intelligent platform that powers geotechnical knowhow of the rock in the mining industry for operational intelligence. Our mission is to push the envelope in Artificial Intelligence (AI), Geophysical IoT sensors, Machine Learning (ML), Data Management, Signal Processing, and Grade Engineering, in order to provide the best-possible blast outcomes for our customers. We are looking for a Geology, Statistics, and ML Specialist to help build industry-leading modeling technologies that the world’s largest mines will adopt.


Key Responsibilities


Reporting to the VP Software, the Machine Learning Geoscientist role will include following broad responsibilities and any other assigned work from time to time


Apply domain expertise in the development and implementation of machine learning models within the hard rock and coal mining industry


Teach internal and client teams how to integrate machine learning software into existing workflows to optimize blast design, blasthole spacing, and other engineering applications


Study and transform data science prototypes for the geoscience specific data streams


Feature extraction and identification over large data sets to feed automated algorithm development


Apply knowledge in geology, geosciences, applied mathematics, and quantitative analysis to sensor solutions for challenges facing our sponsors.


Explore promising research and maintain/gain the technical edge required for projects. Share and develop new approaches and methods.


Design machine learning systems that can automatically recognize features, extract features, and create volume models out int and sparse data


Research and implement appropriate ML algorithms and tools for mining domain specific applications


Select appropriate datasets and data representation methods


Run machine learning tests and experiments


Perform statistical analysis and fine-tuning using test results


Train and retrain systems when necessary


Extend existing ML libraries and frameworks


Keep abreast of developments in the field


Contribute to analysis of algorithmic computational complexity and memory requirements.


Work with Hardware Engineers to specify and optimize sensor and IoT device design and configuration for multiple sensing use cases.


Interface closely with Application and UX Engineers to develop compelling analytical use cases to utilize ML outputs and insights.


Key Qualifications

Master’s degree in Geosciences, statistics, mathematics, applied physics, or a related field.


Comprehensive expert level knowledge of programming and experience in C, C++, Python, R, Golang, or similar language used in geo-stat, ML, and computer vision sciences.


Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.


Experience in working in distributed teams in the research, development, and implementation of machine learning, spatial modeling, and geo-stat algorithms.


Takes initiative, independent worker


Ability to manage multiple concurrent major projects with different tactical and strategic objectives


Can effectively assume an array of roles as appropriate in various kinds of organizations. These may entail different responsibilities, forms of leadership, team work, and project management.


Experience leading in environments that are highly volatile, cross-functional, and cross-organizational

Work Hours & Location

Full time, Flexible working hours, 15 days/year vacation


Work from home office and DataCloud’s office in Vancouver


Some travel to Seattle, Palo Alto, and Client offices world wide


DataCloud is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, or national origin or any other characteristic protected under applicable local law. The Candidate must be authorized to work in Canada.


About DataCloud


Founded in 2016, DataCloud delivers high-resolution rock mass characterization data to our clients in real-time. Our innovative measurement and analysis platform provides invaluable orebody insights during drill and blast operations. Our technologies help mine planning teams to dramatically improve their extraction efficiencies.


With our unique combination of skills in both mining and technology, DataCloud is helping to solve many of the problems that have challenged the mining industry for decades. Our founders come from institutions such as Stanford, UC-Berkeley and Cambridge, who have expertise in geosciences and cloud architecture.

Our portfolio of products and services span the latest in Geo-Statistics, Geo-Physics, and advanced digital and artificial intelligence technologies, including cloud computing, machine learning, advanced visualization, and new sensor technology enabled by IoT systems.

About DataCloud

Revenue: Unknown / Non-Applicable
Size: 1 to 50 Employees
Type: Company - Private
Website: www.datacloud.com

machine learning engineer
DataCloud

www.datacloud.com
Seattle, United States
Unknown / Non-Applicable
1 to 50 Employees
Company - Private
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