AI NLP Research Scientist
21 hours ago
About Sagility
Sagility is a technology-enabled, pure-play healthcare-focused solutions and services provider that supports US-based payers, providers, and their partners to deliver best-in-class operations, enhance the member and provider experience, and improve the quality of care all while delivering cost-effective healthcare financial and clinical outcomes.
We recently bolstered our GenAI team with the acquisition of Seattle-based BirchAI, a healthcare technology company offering cloud-based, GenAI call technology built by experts in transformer-based natural language processing. As an AI NLP Research Scientist specializing in NLP and ASR, you will develop and implement cutting-edge AI technologies, focusing on real-time inference, scalability, and enhancing Conversational AI systems.
Role Overview:
$120,000 - $180,000 per year
This role requires expertise in applying state-of-the-art NLP and ASR algorithms to advance AI capabilities. You will work closely with cross-functional teams to integrate AI features into applications and translate cutting-edge research into practical, impactful solutions.
Key Responsibilities:
- Develop Algorithms: Design and implement production-ready techniques for NLP, ASR, and Conversational AI.
- Stay Informed: Keep up with deep learning research and share key insights with the team.
- Innovate in Production: Enhance model performance for real-time use and scalability.
- Optimize Models: Conduct error analysis to boost accuracy and robustness.
- Analyze & Improve: Build and maintain pipelines for continuous model improvement.
- Collaborate: Work with cross-functional teams to integrate AI features into applications.
- Research Application: Translate cutting-edge research into practical, impactful solutions.
- Technical Skills: Proficient in PyTorch; familiar with frameworks like Fairseq or Transformers.
- Research & Coding: Experience in applied research, strong coding skills, and problem-solving abilities.
- Passion for AI: Expertise in AI areas such as Text Summarization, Speech Recognition, or Conversational AI.
- Deployment Experience: Experience in deploying and scaling AI models in production with real-time processing needs.
- Analytical Skills: Strong in error analysis and model debugging for speech and language models.
Requirements:
A Bachelor's degree in Computer Science, Engineering, or related fields and relevant experience in AI/NLP/ASR research and development. Familiarity with Agile methodologies and proficiency in Python programming languages are preferred.
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