At a Glance
- Tasks: Revolutionise the AI industry by tackling cutting-edge ASR challenges and conducting innovative research.
- Company: Multi-award-winning AI and SaaS provider based in Manchester.
- Benefits: Collaborative environment, opportunities for publishing, and representation at global AI conferences.
- Other info: Dynamic research environment with opportunities for career growth and collaboration.
- Why this job: Join a team of experts and make a real impact in the world of AI.
- Qualifications: PhD or MSc with relevant experience in Speech or LLMs; strong Python skills required.
The predicted salary is between 50000 - 70000 € per year.
Can you see yourself revolutionising the Agentic AI industry? We are a multi-award-winning AI and SaaS provider based in Manchester, dedicated to boosting productivity and efficiency across our global customer base spanning five continents. As an ASR Researcher, you will be the architect of how our agents "hear" and understand speech. This role offers a world-class research environment: you will find yourself in a team of like-minded research scientists who are supported by our specialist in-house Data Annotation team, allowing you to move beyond public datasets and curate bespoke, high-quality data for custom model training. While your primary focus is real-time and multilingual ASR, we foster a cross-functional culture where you can flex into Text-to-Speech projects, enabling you to develop a holistic understanding of the full AI Agent cycle.
Responsibilities
- Tackle state-of-the-art ASR challenges, including Voice Activity Detection (VAD), turn detection, and multilingual speech recognition.
- Conduct cutting-edge research on LLM-based speech recognition and audio-tokenisation, and push core conformer-based ASR architectures to their limit.
- Pair with junior team members to drive research goals and foster collaborative learning.
- Contribute to original research, publish papers, and represent the company at global AI conferences.
- Maintain steady biweekly progression within our sprint-based research environment.
- Write concise technical documentation and research papers.
Requirements
- PhD in Computer Science, Speech & Signal Processing, or a related field. Alternatively, an MSc and 2+ years of commercial or academic research experience in Speech or LLMs.
- Strong foundational understanding of Neural Networks, Large Language Models, and Conformer/Transformer architectures.
- Expert-level proficiency in Python and PyTorch.
- Proven ability to drive independent research with minimal supervision.
- Strong oral and written communication skills.
Research Scientist in Manchester employer: ConnexAI
Join our innovative team in Manchester, where we are at the forefront of revolutionising the Agentic AI industry. As a Research Scientist, you will thrive in a collaborative and dynamic work culture that prioritises employee growth through hands-on experience and opportunities to engage in cutting-edge research. With access to bespoke data curation and the chance to contribute to impactful projects, this role offers a unique environment for those looking to make a meaningful impact in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your research projects and achievements. When you get the chance to meet with the team, this can set you apart from other candidates.
✨Tip Number 3
Be ready for technical interviews! Brush up on your Python and PyTorch skills, and be prepared to discuss your understanding of Neural Networks and ASR challenges. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Research Scientist in Manchester
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for the Agentic AI industry shine through. We want to see how you can revolutionise this field and what unique perspectives you bring to the table.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant experience in ASR and LLMs. We love seeing how your background aligns with our mission, so don’t hold back on showcasing your skills!
Be Clear and Concise:In your written application, clarity is key. We appreciate well-structured documents that get straight to the point. Avoid jargon unless it’s necessary, and make sure your ideas flow logically.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ConnexAI
✨Know Your Stuff
Make sure you brush up on the latest trends in ASR and LLMs. Familiarise yourself with key concepts like Voice Activity Detection and audio-tokenisation. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert ready to contribute.
✨Showcase Your Research
Prepare to talk about your previous research projects, especially those related to speech recognition or neural networks. Bring along any papers you've published or presentations you've given. This will demonstrate your ability to drive independent research and your commitment to advancing the field.
✨Collaborative Spirit
Since this role involves working closely with junior team members and fostering collaborative learning, be ready to share examples of how you've mentored others or worked in a team. Highlighting your teamwork skills will resonate well with their cross-functional culture.
✨Communicate Clearly
Strong oral and written communication skills are a must. Practice explaining complex concepts in simple terms, as you might need to do this during the interview. Clear communication will not only help you convey your ideas but also show that you can write concise technical documentation.
