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- Tasks: Develop advanced audio and speech models using cutting-edge machine learning techniques.
- Company: Rapidly growing AI startup in the heart of London.
- Benefits: Competitive salary, equity options, and strong career growth opportunities.
- Why this job: Join a highly technical team and make an impact in the AI industry.
- Qualifications: MSc/PhD in ML or AI with 3-5 years of deep learning experience.
- Other info: Exciting opportunity to work on innovative projects in a dynamic environment.
The predicted salary is between 70000 - 90000 £ per year.
A rapidly growing AI startup in London is seeking a Senior Machine Learning Engineer to develop advanced audio and speech models. The role involves building state-of-the-art models, managing complex datasets, and taking research models to production.
Candidates should have a MSc/PhD in ML or AI, and 3-5 years of experience in training deep learning models.
The position offers a competitive salary, equity, and strong growth opportunities in a highly technical team.
Senior ML Engineer - Audio & Speech, London (Equity) employer: erg group
Contact Detail:
erg group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Audio & Speech, London (Equity)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to audio and speech models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer - Audio & Speech, London (Equity)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning models and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back!
Tailor Your CV: Customise your CV to reflect the specific requirements of the Senior ML Engineer position. Use keywords from the job description to make it clear that you’re a perfect fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re passionate about audio and speech models. Share your vision and how you can contribute to our growth as a rapidly evolving AI startup.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at erg group
✨Know Your Models Inside Out
Make sure you can discuss the audio and speech models you've worked on in detail. Be prepared to explain your approach to building and training these models, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Management Skills
Since managing complex datasets is key for this role, come ready to talk about your experience with data preprocessing, augmentation, and any tools you've used. Highlight specific projects where your data management made a significant impact.
✨Research and Prepare
Dive into the company's recent projects and publications. Understanding their current work will not only help you tailor your answers but also show your genuine interest in their mission and technology.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your knowledge of machine learning and the industry. Inquire about their model deployment strategies or how they handle scalability, which shows you're thinking about the bigger picture.