ML Research Engineer — Natural Language Processing
Skills
Art ResearchArtificial IntelligenceBenchmarkingData CollectionDynamoMachine LearningNatural Language Processing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Deep domain knowledge in Natural Language Processing especially entity recognition tasks
- Extensive experience in designing implementing and maintaining production-ready ML code
- Past experience leading end-to-end NLP features from problem formulation to quality assurance
- Adaptability to shift focus based on new findings in academic or startup environments
- Ability to learn implement and extend state-of-the-art research quickly
- Experience in policy product and engineering collaboration
Day to day
- Design, develop and maintain ML code for products centered around LLM safety and privacy
- Ensure seamless integrations with customers’ AI workflows through rigorous testing
- Implement novel techniques to deliver top-performing models enabling customers to deploy safe and responsible LLMs
- Collaborate with policy product and engineering teams to ship features
- Lead vertical for safety guardrails and oversee product feature delivery