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- Tasks: Develop advanced audio and speech models using cutting-edge machine learning techniques.
- Company: Rapidly growing AI startup in London with a focus on innovation.
- Benefits: Competitive salary, equity options, and strong 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 and 3-5 years of deep learning experience.
- Other info: Exciting opportunity to work with complex datasets and take research to production.
The predicted salary is between 60000 - 80000 £ 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 AI and ML community, especially those working in audio and speech tech. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning models. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and work on real-world problems to show you can take research models to production.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you a better chance to stand out. Plus, we love seeing candidates who are proactive!
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 exciting projects at StudySmarter.
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 training deep learning models, the challenges you faced, and how you overcame them. This shows your depth of knowledge and hands-on experience.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some technical problems or case studies. Practice explaining your thought process clearly and logically. This will demonstrate your analytical skills and how you approach complex datasets, which is crucial for the role.
✨Research the Company’s Projects
Familiarise yourself with the startup's current projects and technologies. Being able to discuss how your skills align with their goals will show your genuine interest in the company and the position. It also gives you a chance to highlight relevant experiences.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask at the end of the interview. Inquire about the team dynamics, the tech stack they use, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.