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- Tasks: Join us to research and develop cutting-edge speech-to-speech capabilities in multimodal LLMs.
- Company: ConnexAI is an innovative tech company focused on enhancing language models with advanced speech technologies.
- Benefits: Enjoy a collaborative work environment, opportunities for growth, and the chance to shape groundbreaking technology.
- Why this job: Be part of a greenfield project that merges speech and language, making a real impact in AI.
- Qualifications: PhD or MSc in machine learning/data science, with experience in LLMs and strong Python skills required.
- Other info: Ideal for those passionate about research and eager to learn in a dynamic team setting.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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.
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest research in multimodal LLMs and speech technologies. Being able to discuss recent academic papers during interviews will demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Showcase any hands-on projects or contributions you've made in machine learning, particularly those involving speech-to-text or text-to-speech systems. Real-world examples can significantly strengthen your case as a candidate.
✨Tip Number 3
Network with professionals in the field of data science and machine learning, especially those focused on speech technologies. Engaging in relevant online communities or attending industry events can help you make valuable connections.
✨Tip Number 4
Prepare to discuss how you would approach integrating audio data into multimodal systems. Having a clear strategy or ideas ready can set you apart from other candidates and show your problem-solving skills.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, data science, and any specific projects related to speech technologies or multimodal systems. Use keywords from the job description to align your skills with what ConnexAI is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of speech and language technologies. Discuss specific projects or research that demonstrate your expertise in LLMs and how you can contribute to ConnexAI's ambitious goals.
Showcase Your Research Experience: If you have published papers or conducted significant research, summarise these experiences in your application. Highlight any work related to audio data integration or model training that aligns with the role's requirements.
Prepare for Technical Questions: Anticipate technical questions related to machine learning, programming in Python, and using frameworks like PyTorch. Be ready to discuss your approach to implementing techniques from academic papers into practical solutions during potential interviews.
How to prepare for a job interview at ConnexAI
✨Showcase Your Research Background
Make sure to highlight your research experience in machine learning, especially if it relates to speech or multimodal systems. Be prepared to discuss specific projects or papers you've worked on and how they relate to the role.
✨Demonstrate Technical Proficiency
Since strong programming skills in Python and experience with PyTorch are essential, be ready to discuss your coding experience. You might even want to prepare for a technical assessment or coding challenge during the interview.
✨Prepare for Collaborative Scenarios
Given the collaborative nature of the role, think of examples where you've successfully worked in interdisciplinary teams. Be ready to discuss how you communicate complex ideas to non-technical team members.
✨Stay Curious and Open to Learning
Express your curiosity and willingness to learn new techniques and technologies. This role involves adapting recent academic findings into practical solutions, so showing enthusiasm for continuous learning will set you apart.
