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AI Research Engineer (NLP) at Elemental Cognition
160.000 to 300.000 USD per year
Remote / RelocationRemoteML
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AI Research Engineer (NLP)
Elemental Cognition
160.000 to 300.000 USD per year
Remote / Relocation
Led by Dr. David Ferrucci, the mind behind IBM Watson, Elemental Cognition is an AI innovator, committed to revolutionizing machine learning and reasoning
Responsibilities:
• Assist in the implementation and deployment of reliable and scalable NLP algorithms grounded on state-of-the-art AI research
• Collaborate closely with researchers to develop, run, and evaluate cutting-edge AI models
• Combine exceptional coding skills with AI knowledge to reliably deploy and test models that operate at scale
• Adapt and set up various machine learning and neural network architectures to optimally utilize computing and data resources
• Deliver high-quality, well-designed, and testable code
• Integrate, test, and troubleshoot adjacent software components
Requirements:
• MS or PhD in Computer Science or related technical fields
• Proficiency in Python
• Minimum of 2 years in an ML Engineer role working closely with NLP technologies
• Substantial experience in research environments, such as industrial research labs
• Experience in building systems based on machine learning (especially deep learning) methods
• Familiarity with deep learning frameworks such as PyTorch
• Experience with automated job deployment tools such as Kubernetes
• Fluent English
Contacts:
@maks5507
Elemental Cognition
160.000 to 300.000 USD per year
Remote / Relocation
Led by Dr. David Ferrucci, the mind behind IBM Watson, Elemental Cognition is an AI innovator, committed to revolutionizing machine learning and reasoning
Responsibilities:
• Assist in the implementation and deployment of reliable and scalable NLP algorithms grounded on state-of-the-art AI research
• Collaborate closely with researchers to develop, run, and evaluate cutting-edge AI models
• Combine exceptional coding skills with AI knowledge to reliably deploy and test models that operate at scale
• Adapt and set up various machine learning and neural network architectures to optimally utilize computing and data resources
• Deliver high-quality, well-designed, and testable code
• Integrate, test, and troubleshoot adjacent software components
Requirements:
• MS or PhD in Computer Science or related technical fields
• Proficiency in Python
• Minimum of 2 years in an ML Engineer role working closely with NLP technologies
• Substantial experience in research environments, such as industrial research labs
• Experience in building systems based on machine learning (especially deep learning) methods
• Familiarity with deep learning frameworks such as PyTorch
• Experience with automated job deployment tools such as Kubernetes
• Fluent English
Contacts:
@maks5507

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