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- Tasks: Enhance Automatic Speech Recognition quality and create scalable evaluation frameworks.
- Company: Leading AI solutions provider in Greater London with a focus on innovation.
- Benefits: Competitive salary, equity, and comprehensive benefits package.
- Why this job: Join a team transforming AI advancements into real-world applications.
- Qualifications: 5+ years in machine learning with expertise in speech processing.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions provider in Greater London is seeking a Senior Machine Learning Engineer to improve Automatic Speech Recognition (ASR) quality and develop scalable evaluation frameworks. The ideal candidate will have over 5 years of experience and a strong background in machine learning, particularly in speech processing. This role offers a competitive salary, equity, and benefits, with a focus on translating AI improvements into real-world applications.
Senior ML Engineer — ASR & Evaluation at Scale employer: Cresta CTO & co
Contact Detail:
Cresta CTO & co Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — ASR & Evaluation at Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those working in ASR. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to speech processing and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and ASR techniques. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Engineer — ASR & Evaluation at Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and speech processing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about improving ASR quality and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to ASR or evaluation frameworks, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that highlight your contributions.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Cresta CTO & co
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in speech processing. Be ready to discuss your past projects and how they relate to improving ASR quality. We recommend preparing specific examples that showcase your expertise.
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some real-world problems related to ASR and evaluation frameworks. We suggest practising with case studies or hypothetical scenarios to demonstrate your analytical thinking and how you approach challenges in machine learning.
✨Understand Their Vision
Research the company’s mission and recent projects. We believe that showing genuine interest in how they translate AI improvements into real-world applications can set you apart. Prepare questions that reflect your understanding of their goals and how you can contribute.
✨Be Ready for Technical Questions
Prepare for technical interviews by reviewing common algorithms and techniques used in speech processing. We advise doing mock interviews with peers or using online platforms to get comfortable with articulating your thought process under pressure.
