Natural Language Processing Jobs in British Columbia
1 - 15 of 45
Search Results - Natural Language Processing Jobs in British Columbia
GrammarlyOttawa
in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Has deep and broad expertise in modern machine learning methods related to natural language processing.
• Has experience in Deep Learning, LLMs, and/or classical...
Inworld AIVancouver
partnerships with key industry players such as Microsoft/Xbox, Epic Games and Unity.
We are seeking Staff and Principal level Research Engineers with extensive experience in Natural Language Processing (NLP). You will be at the forefront of building generative...
CIBCToronto
acceleration. You have advanced interdisciplinary knowledge in deep learning, natural language processing, and big data. You have track record of impactful projects and publications at top‐tier venues (NeurIPS, ICLR, Nature, etc.). You understand foundation...
Inworld AIVancouver
programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
Preferred Qualifications Master's degree or PhD in speech synthesis/recognition or adjacent fields.
5. ..
FCS Can Ltd.Delta
middle managers, directors or other executive staff; delegate the necessary authority to them and create optimum working conditions
• Leverage existing natural language processing (NLP) technologies and artificial intelligence (AI) solutions to develop...
Sanctuary AIVancouver
in dexterous manipulation and natural language processing.
Key Responsibilities:
• Design and optimize machine learning models for robotics
• Implement efficient software solutions for production systems
• Collaborate with engineers and researchers on project...
Workday, Inc.Vancouverappcast.io
machine learning systems, such as Kubernetes and Docker.
• Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases...
Borealis AIVancouver
thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, Large Language Models, deep learning, and unsupervised learning to solve ground‑breaking problems...
GrammarlyOttawa
rooted in trust.
• Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
• Has deep and broad expertise in modern machine learning methods related to natural language processing.
• Has experience...
RemitlyBurnabyappcast.io
Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
Compensation Details
The starting base salary range for this position is $168,000-$210,000. In Canada, Remitly employees are shareholders...
Borealis AIVancouver
fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.
Inclusion and Equal Opportunity Employment
RBC is an equal...
Workday, Inc.Vancouver
machine learning systems, such as Kubernetes and Docker.
• Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases...
Rackspace TechnologyVancouver
effective and scalable ML inference systems.
• Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
• Solid foundation in machine learning algorithms, natural language processing, and statistical modeling...
Sanctuary AIVancouver
methods with a focus on a specialization such as dexterous manipulation with reinforcement learning or imitation learning, computer vision for robotics, or natural language processing
4+ years of experience in software engineering, with a focus...
Rackspace TechnologyEdmonton
effective and scalable ML inference systems.
• Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
• Solid foundation in machine learning algorithms, natural language processing, and statistical modeling...
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