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For Companies At a Glance
- Tasks: Drive innovative AI research and develop cutting-edge audio and speech processing algorithms.
- Company: Join a leading tech firm at the forefront of AI advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in the exciting field of generative AI and speech technology.
- Qualifications: MSc/PhD in relevant fields and strong software development skills required.
- Other info: Collaborate with a dynamic team and tackle complex challenges in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will:
- Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing.
- Lead the development of robust and scalable software solutions for deployment on flagship mobile devices.
- Independently own and deliver significant components of complex research projects, from initial concept to production readiness.
- Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices.
- Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship.
- Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects.
- Contribute to the development of internal tools and infrastructure to support research and development efforts.
Skills and Qualifications
- Required Skills
- MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline.
- Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus).
- Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.
- Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing.
- Proficiency with machine learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies.
- Excellent communication, collaboration, and problem-solving skills.
- Demonstrated ability to translate research ideas into practical, production-ready solutions.
- Desirable Skills
- Experience with generative AI, particularly in the context of audio/speech technologies.
- A strong publication record in top-tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR).
- Experience with open-source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo).
- Experience developing and deploying AI models on Android mobile platforms.
- Proven experience in building and maintaining large-scale, distributed training pipelines.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Senior Machine Learning Research Engineer - Speech in London employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Research Engineer - Speech in London
✨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 processing. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Machine Learning Research Engineer - Speech in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your MSc/PhD and any relevant experience in AI, machine learning, or audio processing. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their expertise with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at microTECH Global Limited
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in audio and speech processing. Be ready to discuss specific algorithms and models you've worked with, and how they relate to the job description. This shows you're not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Prepare to talk about significant projects you've led or contributed to, particularly those involving AI algorithms or software development. Highlight your role in taking these projects from concept to production, and be ready to discuss any challenges you faced and how you overcame them.
✨Collaboration is Key
Since this role involves working closely with a multi-disciplinary team, be prepared to discuss your experience in collaboration. Share examples of how you've provided technical guidance or mentorship, and how you’ve tackled problems as part of a team.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s current projects or future directions in AI and speech technologies. This not only shows your interest but also gives you a chance to gauge if the company aligns with your career goals.
