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Senior Applied Scientist Jobs in British Columbia

Applied Scientist Ml/Dl/Nlp/Llm, Icc Ai Center Of Excellence
By Amazon At Vancouver, British Columbia, Canada
Experience programming in Java, C++, Python or related language
Experience implementing algorithms using both toolkits and self-developed code
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in building machine learning models or developing algorithms for business applications in production
PhD in computer science, operations research, statistics, mathematics (or equivalent field) with specialist competence in machine learning
Senior Applied Research Scientist (Cv/Dl)
By Harnham At Greater Toronto Area, Canada
Utilize your 3D point cloud experience for instance segmentation pipeline research, optimization, pose estimation, pose refinement, camera calibration, etc.
Extensive experience in Deep Learning targeted to product development
Extensive Research experience in Deep Learning with TensorFlow or PyTorch
Research & development of advanced product-critical computer vision components such as instance segmentation, point cloud completion & mesh reconstruction
Provide leadership, collaboration, and mentorship to the research and development team within the Computer Vision and Deep Learning group
Support overall research, engineering, and architecture efforts
Part-Time Faculty - Applied Electrical Motion And Control Management And Applied Energy Management Programs
By Conestoga College At Kitchener, Ontario, Canada
Support students in the use of eConestoga, the learning management system (D2L), as well as maintain course materials within this system
Industry experience in mandatory, requirements are as follows:
Create and maintain a positive learning environment which supports the diversity of students’ cultures, educational backgrounds, and learning styles
Three years practical experience with a focus on electricity, electrical and electronic systems
Working knowledge of the Ontario Electrical Code is essential
Experience using Studio 5000 Software
Senior Applied Research Scientist
By Harnham At Greater Toronto Area, Canada

Senior Applied Research Scientist - Industrial Automation Solutions Location: Remote (with office in Toronto, Canada) Salary Range: $190,000 - $230,000 per annum Equity Package Offered Are ...

Senior Social Scientist Jobs
By WSP in Canada At Vancouver, British Columbia, Canada
Excellent work ethic with strong organization and time management skills
Supports or leads project management
Minimum of 7 years of relevant professional experience
Experience working on large projects involving multi-disciplinary teams
Experience working with, and supporting consultation and engagement with Indigenous groups and public stakeholders
Highly effective verbal and written communication skills
Senior Clinical Scientist Jobs
By ClickJobs.io At Vancouver, British Columbia, Canada

Senior Clinical Scientist, FSP - Oncology Remote - Canada     ***Position leads Phase 1-3 Clinical Trials and oversees medical monitoring.    This is not a laboratory/research scientist role. ***     ...

Senior Scientist - Biologics
By Abdera Therapeutics At Vancouver, British Columbia, Canada
Demonstrated advanced knowledge and experience of therapeutic antibody discovery of various platforms and formats
PhD in Molecular Biology, Immunology, Biochemistry or related field, with minimum 8 years relevant experience or equivalent
Industry experience with antibody discovery workflows, including discovery platforms and characterisation essential
Experience with characterisation of antibodies, and analysing data to aid lead candidate selection
Excellent interpersonal skills, ability to work collaboratively with a cross-functional team
Strong critical thinking and analysis skills
Machine Learning Applied Scientist
By Prenuvo At Vancouver, British Columbia, Canada
We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
3+ years of industry experience in machine learning or related field
Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning
Experience with label noise mitigation techniques, such as co-teaching or mentor-guided learning
Experience with diffusion denoising techniques
Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow