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ML Research Engineer — Natural Language Processing - Remote Eligible
Design and implement safety guardrails for deploying responsible LLMs in customer applications.
LondonParisRemote
Mid-Level
4 months ago
✨ About The Role
- The ML Research Engineer will be responsible for a vertical focused on state-of-the-art safety guardrails for LLMs.
- The role involves rigorous testing of product features and ensuring seamless integrations with customers' AI workflows.
- The engineer will implement novel techniques to deliver high-performing models that empower customers to deploy safe and responsible LLMs.
- Collaboration with policy, product, and engineering teams is essential to ship features to customers effectively.
- The position offers the opportunity to work on AI safety, compliance, and privacy, contributing to the democratization of AI advancements.
⚡ Requirements
- The ideal candidate will have deep domain knowledge in Natural Language Processing, particularly in entity recognition tasks.
- Extensive experience in designing, implementing, and maintaining production-ready machine learning code is essential.
- Candidates should have a proven track record of leading end-to-end NLP features, including problem formulation, data gathering, training, and quality assurance.
- Adaptability and flexibility are crucial, as the role may require quick shifts in focus based on new findings in the community.
- Experience with Named Entity Recognition (NER) for Personally Identifiable Information (PII) detection and/or synthetic data generation is preferred.
ML Research Engineer — Natural Language Processing - Remote Eligible
LondonParisRemote
Engineering
About DynamoFL
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