At a Glance
- Tasks: Lead research in real-time speech tech and design large-scale models.
- Company: Top AI communications firm with a focus on innovation.
- Benefits: Competitive contract salary and opportunities for professional growth.
- Other info: Exciting contract role in a dynamic, collaborative environment.
- Why this job: Join a pioneering team and shape the future of voice AI technology.
- Qualifications: Strong background in multilingual machine learning and production experience.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI communications firm is seeking a Senior Staff Research Scientist to join their DeepL Voice team in London. The role involves leading research and development in real-time speech technologies, designing large-scale models, and working closely with engineers on production deployment.
Candidates should have a strong background in multilingual machine learning and proven experience in production environments. This is a contract position aimed at mid-senior level professionals in research services.
Senior Staff Research Scientist, Real-Time Voice AI employer: Paul Ekman Group
As a leading AI communications firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional growth, and the chance to work alongside industry experts in a dynamic environment focused on real-time voice AI advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Research Scientist, Real-Time Voice AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and speech tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your past projects in multilingual machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of real-time speech technologies and large-scale models. Mock interviews can be a game changer.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to showcase your enthusiasm for the role.
We think you need these skills to ace Senior Staff Research Scientist, Real-Time Voice AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in multilingual machine learning and real-time speech technologies. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI communications and how your skills can contribute to our DeepL Voice team. Keep it engaging and personal – we love to see your personality!
Showcase Your Research Experience:Since this role involves leading research, make sure to detail any previous research projects you've led or contributed to. Highlight your experience in production environments, as this will show us you can hit the ground running.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Paul Ekman Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in real-time speech technologies and multilingual machine learning. Brush up on the latest advancements and be ready to discuss how they can be applied in production environments.
✨Showcase Your Leadership Skills
As a Senior Staff Research Scientist, you'll need to demonstrate your ability to lead research and development. Prepare examples of past projects where you’ve successfully led a team or initiative, highlighting your role in driving results.
✨Prepare for Technical Questions
Expect in-depth technical questions about designing large-scale models and deployment processes. Practise explaining complex concepts clearly and concisely, as you may need to communicate these ideas to engineers and stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking thoughtful questions about the company’s current projects or future goals in AI communications. This shows your genuine interest and helps you gauge if the role is the right fit for you.
