About the job
Enhancing the quality of human interactions through every conversation.
Machine Learning Engineer - Inference
Location: United States
Experience: 5 years
About the Team:
At Symbl.ai, we are committed to transforming the Conversation AI landscape. Our team is a dynamic and innovative collective, constantly pushing the limits of AI-driven communication technologies.
About the Role:
As a Machine Learning Engineer specializing in Inference at Symbl.ai, you will be instrumental in the development and enhancement of our Nebula large language model and other Conversation AI initiatives. You will focus on deploying deep learning models to facilitate efficient and accurate inference in real-time communication environments.
Key Responsibilities:
- Develop and implement sophisticated algorithms and models for real-time inference in Conversation AI applications, with an emphasis on Nebula.
- Work collaboratively with cross-functional teams to integrate machine learning models into production systems, ensuring scalability, reliability, and optimal performance.
- Optimize and refine machine learning models for environments with limited resources, such as edge devices or cloud platforms.
- Create monitoring and evaluation frameworks to measure the performance and effectiveness of inference models in real-world applications.
- Keep abreast of the latest innovations in machine learning inference techniques, integrating new methodologies into our projects as appropriate.
- Contribute to the documentation and sharing of best practices for implementing and deploying machine learning inference solutions.
Joining Symbl.ai as an ML Engineer focused on Inference presents an exciting opportunity to engage with leading-edge technologies in the Conversation AI domain. You will play a pivotal role in shaping the future of communication through our groundbreaking product, Nebula, and other innovative projects.
