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- Tasks: Train and improve speech and voice models while turning research into real-world systems.
- Company: Venture-backed startup focused on innovative machine learning solutions.
- Benefits: Flexible part-time hours, hands-on experience, and immediate impact on projects.
- Why this job: Own your work and see the results of your contributions in real-time.
- Qualifications: Fluency in Arabic and English, strong computer science fundamentals, and ML model experience.
- Other info: Dynamic team environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are a venture backed startup building production machine learning systems, and we are looking for a part time Machine Learning Engineer to join a small, senior technical team. This is a hands on role with real ownership. You will work directly on speech and voice models that are already live, improving how they perform, scale, and hold up in real world conditions. You will move quickly between experiments and production, work closely with research, platform, and backend engineers, and see the impact of your work almost immediately. If you like shipping, iterating fast, and owning what you build, this role will feel natural.
What you will be doing:
- Training and improving speech and voice models in production
- Turning research ideas into systems that actually ship
- Working with real audio data and helping shape how it is collected and labeled
- Improving latency, reliability, and cost across deployed models
What we are looking for:
- Fluency in Arabic and English
- Strong fundamentals in computer science, algorithms, and statistics
- Real experience building and shipping machine learning models
- Comfortable working in Python with PyTorch, TensorFlow, or similar frameworks
- Familiarity with speech and audio concepts like voice activity detection, noise suppression, augmentation, or echo cancellation
- Ownership mindset and comfort operating with limited structure
- Master’s or PhD in Computer Science, Machine Learning, AI, or a related field is required
- Nice to have: Prior experience working on voice or speech AI
ML Engineer (Voice - Arabic) employer: Stealth AI Startup
Contact Detail:
Stealth AI Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer (Voice - Arabic)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who are already working in machine learning or voice AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to speech and voice models. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and statistics knowledge. Practice coding challenges in Python, and be ready to discuss your past projects and how you tackled real-world 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 take that extra step!
We think you need these skills to ace ML Engineer (Voice - Arabic)
Some tips for your application 🫡
Show Your Passion for ML: When you're writing your application, let your enthusiasm for machine learning shine through! We want to see how excited you are about working on speech and voice models. Share any personal projects or experiences that highlight your love for the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, PyTorch, and TensorFlow, and don’t forget to mention your fluency in Arabic and English. We’re looking for specific skills, so make them pop!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit for the role without wading through unnecessary fluff.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Stealth AI Startup
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially around speech and voice models. Be ready to discuss your experience with Python, PyTorch, or TensorFlow, and have examples of projects where you've built and shipped models.
✨Speak the Language
Since fluency in Arabic and English is key for this role, practice explaining complex concepts in both languages. This will not only show your language skills but also your ability to communicate technical ideas clearly.
✨Show Your Ownership Mindset
Prepare to share specific instances where you've taken ownership of a project. Discuss how you approached challenges, made decisions, and iterated on your work. This will demonstrate that you’re comfortable operating with limited structure.
✨Get Familiar with Real-World Applications
Understand the practical implications of your work. Be ready to talk about how you've improved latency, reliability, or cost in deployed models. Showing that you can connect research ideas to real-world applications will impress the interviewers.
