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- Tasks: Design evaluation frameworks for cutting-edge ASR and NLP systems.
- Company: Leading AI company in Greater London with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a team that shapes the future of speech recognition technology.
- Qualifications: Master's or Ph.D. in a related field with 5+ years of experience.
- Other info: Collaborative environment with a strong emphasis on measurable outcomes.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI company in Greater London is seeking a Senior Machine Learning Engineer to enhance model evaluation for Automatic Speech Recognition and NLP systems. The role involves designing evaluation frameworks and collaborating with applied researchers to ensure improvements translate into measurable outcomes.
Candidates should possess a Master's or Ph.D. in a related field with 5+ years of experience, particularly in speech recognition and machine learning model deployment. Competitive salary and benefits offered.
Senior ML Engineer: ASR/NLP Quality & Evaluation employer: Cresta
Contact Detail:
Cresta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: ASR/NLP Quality & Evaluation
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those working in ASR and NLP. 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 recognition 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 concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior ML Engineer: ASR/NLP Quality & Evaluation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in speech recognition and machine learning. 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 ASR and NLP, and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since this role involves designing evaluation frameworks, make sure to mention any specific tools or methodologies you’ve used in the past. We love seeing practical examples of your work, so don’t hold back!
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 a few clicks and you’re done!
How to prepare for a job interview at Cresta
✨Know Your Stuff
Make sure you brush up on your knowledge of Automatic Speech Recognition and NLP systems. Be ready to discuss specific projects you've worked on, especially those involving model evaluation and deployment. This will show that you’re not just familiar with the theory but have practical experience too.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects during the interview. Review key concepts in machine learning, particularly around evaluation frameworks. Practise explaining complex ideas clearly, as you might need to collaborate with researchers who may not be as technically inclined.
✨Showcase Your Collaboration Skills
Since the role involves working closely with applied researchers, be prepared to discuss how you've successfully collaborated in the past. Share examples where your teamwork led to measurable improvements in projects, highlighting your ability to communicate effectively across disciplines.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s goals and challenges. Inquire about their current projects in ASR/NLP and how they measure success. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
