machine learning engineer Vancouver
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
