Build the future of Conversational AI with ConnexAI
As a Data Scientist on the Automatic Speech Recognition (ASR) team, you will be at the heart of building the voice models that power real-time AI systems used by millions globally daily. You’ll design, train, and refine cutting-edge ASR models that turn speech into actionable insights, helping our AI understand and respond with accuracy and speed. This is your chance to experiment with the latest architectures, push the boundaries of speech technology, and see your models make an immediate impact on products that transform how people and businesses communicate.
This is a pivotal moment for ConnexAI, as we expand our ASR capabilities and push the boundaries of conversational intelligence. Join us, and be part of the team setting the industry standard.
Core Responsibilities
* Use Python to develop SOTA streaming and non-streaming automatic speech recognition models with K2 (preferably) or NeMo toolkits.
* Experiment with new modelling approaches, neural architectures, and training techniques to improve ASR accuracy and latency.
* Work with large-scale speech datasets, preparing and preprocessing data for training, validation, and testing.
* Collaborate closely with speech data engineers to ensure high-quality datasets and annotations are used effectively in model training.
* Support deployment pipelines and integration of models into real-time conversational AI applications.
* Stay up to date with the latest research in ASR and speech processing, translating findings into practical improvements for our products.
Interview Process
* 30-minute video call with the team lead
* Take-home technical exercise
* 90-minute face-to-face interview
About ConnexAI
ConnexAI is an award-winning Conversational AI platform. Designed by a world-class engineering team, ConnexAI's technology enables organisations to maximise profitability, increase revenue and take productivity to new levels.
ConnexAI provides cutting-edge, enterprise-grade AI applications, including AI Agent, AI Guru, AI Analytics, ASR, AI Voice, and AI Quality.
We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal roles. Our high retention rate reflects our inclusive, supportive, and empowering environment.