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- Tasks: Join us to research and develop cutting-edge speech-to-speech models.
- Company: ConnexAI is innovating in AI with a focus on multimodal language models.
- Benefits: Enjoy a collaborative environment, flexible work options, and opportunities for growth.
- Why this job: Be at the forefront of AI technology, making a real impact in speech integration.
- Qualifications: PhD or MSc in machine learning/data science; experience with LLMs and Python required.
- Other info: This is a unique chance to shape a groundbreaking product from the ground up.
The predicted salary is between 36000 - 60000 £ per year.
ConnexAI is developing an ambitious new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We’re seeking a data scientist with a strong research background in machine learning and a focus on speech or multimodal systems. In this role, you’ll work at the intersection of speech and language technologies, exploring how to integrate these modalities into deployable models. You’ll collaborate closely with engineers, researchers, and product leaders to design, prototype, and deploy state-of-the-art models.
What You'll Be Doing?
- Researching the state-of-the-art approaches for incorporating audio data into multimodal LLMs for speech-to-text, text-to-speech, and speech-to-speech tasks
- Implementing and adapting techniques from recent academic papers into practical, production-ready solutions
- Training and fine-tuning models, and iterating on architectures to improve performance and scalability
- Sourcing, curating, and preparing datasets for model training and evaluation
- Defining evaluation metrics and testing frameworks for multimodal systems
- Collaborating with product and engineering teams to translate research concepts into deployable features
- Contributing to improving the team’s workflows to help foster a healthy, productive, and innovation-focused environment
What We're Looking For?
- Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience)
- Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems
- Strong programming skills in Python, with experience in using PyTorch
- Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results
- Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions
- Strong communicator, comfortable working across interdisciplinary teams
- A collaborative mindset and interest in helping improve team workflows
- Curiosity and a willingness to learn
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. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews, showcasing your knowledge and enthusiasm for the field.
✨Tip Number 2
Network with professionals in the machine learning and speech technology sectors. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends, which could give you an edge when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented machine learning techniques, especially those related to speech or multimodal systems. Being able to articulate your hands-on experience will demonstrate your capability and readiness for the challenges of this role.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked in interdisciplinary teams. This role requires close collaboration with engineers and product leaders, so emphasising your ability to work well with others will be crucial.
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 enthusiasm for the role and the company. Discuss your research background and how it relates to the development of multimodal LLMs. Mention specific experiences that demonstrate your ability to work collaboratively and innovate.
Showcase Your Projects: If you have worked on relevant projects, whether academic or personal, include them in your application. Describe your role, the technologies used, and the outcomes. This will help illustrate your hands-on experience with training and fine-tuning ML models.
Prepare for Technical Questions: Be ready to discuss your understanding of recent academic papers and how you would implement their techniques into practical solutions. Brush up on your programming skills in Python and your experience with PyTorch, as these will likely be focal points during the interview process.
How to prepare for a job interview at ConnexAI
✨Showcase Your Research Background
Be prepared to discuss your previous research experiences in machine learning, especially those related to speech or multimodal systems. Highlight specific projects where you implemented techniques from academic papers and how they contributed to the success of the project.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills in Python and your experience with PyTorch. Be ready to explain your approach to training and fine-tuning models, including any challenges you faced and how you overcame them.
✨Prepare for Collaborative Scenarios
Since this role involves working closely with engineers and product leaders, think of examples that showcase your ability to collaborate effectively. Discuss how you’ve contributed to team workflows and how you can help foster a productive environment.
✨Express Your Curiosity and Willingness to Learn
Employers value candidates who are eager to learn and grow. Share instances where you sought out new knowledge or skills, particularly in the context of machine learning and speech technologies, and how that has shaped your career.
