The company is looking to solve complex problems in personal knowledge aggregation, processing, modeling, and verification by developing personalized assistant systems. This involves creating scalable solutions for language model centric systems, innovating new methods for contextual knowledge extraction and information retrieval, and integrating GenAI models with customer tools for real-time note generation and AI translation/transcription.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience building machine learning models or developing algorithms for business application
- Experience using Unix/Linux
- 3+ years of building models for business application experience
Responsibilities
- Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals
- Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality
- Work on integration with GenAI models with customer’s event management tracking tool. AI Translation/Transcription (such as NovaSonic from AWS) within AWS Connect to generate real-time notes within customer’s event management tracking tool.
- Research in advanced customer understanding and behavior modeling techniques
- Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results
- Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Other
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification
- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
