ASR Research Scientist: Multilingual LLM Innovation in Manchester

ASR Research Scientist: Multilingual LLM Innovation in Manchester

Manchester Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
ConnexAI

At a Glance

  • Tasks: Tackle complex speech recognition challenges and contribute to innovative research.
  • Company: ConnexAI, a forward-thinking tech company based in Manchester.
  • Benefits: Opportunity to publish at global AI conferences and collaborate with experts.
  • Other info: Dynamic environment fostering creativity and professional growth.
  • Why this job: Join a team dedicated to innovation and make a real impact in AI.
  • Qualifications: PhD or MSc in relevant field with expertise in Python and PyTorch.

The predicted salary is between 50000 - 70000 Β£ per year.

ConnexAI, based in Manchester, is looking for an ASR Researcher to advance the state of speech recognition technologies. You will address complex ASR challenges and contribute to foundational research while collaborating with a team of experts in a conducive environment dedicated to innovation.

The ideal candidate should have a PhD or MSc with relevant experience and expertise in Python and PyTorch. Engage in groundbreaking research and enjoy opportunities for publishing your findings at global AI conferences.

ASR Research Scientist: Multilingual LLM Innovation in Manchester employer: ConnexAI

ConnexAI is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration among experts in the field. Employees benefit from opportunities for professional growth through participation in global AI conferences and publishing their research, all while working on cutting-edge speech recognition technologies that make a meaningful impact in the industry.

ConnexAI

Contact Details:

ConnexAI Recruitment Team

We think you need these skills to ace ASR Research Scientist: Multilingual LLM Innovation in Manchester

Speech Recognition Technologies
ASR Challenges
Foundational Research
Python
PyTorch
Collaboration
Innovation