At a Glance
- Tasks: Develop scalable data pipelines for voice AI using machine learning techniques.
- Company: Innovative media tech company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic R&D team with a focus on innovation and collaboration.
- Why this job: Join us to redefine media content creation with cutting-edge technology.
- Qualifications: 3+ years in ML data engineering, strong Python skills, and audio tech familiarity.
The predicted salary is between 50000 - 60000 £ per year.
Synthesia, based in Greater London, is seeking an experienced Machine Learning Data Engineer to join its R&D team. The role involves developing scalable data pipelines using machine learning techniques and requires a background in Computer Science or Engineering with at least 3 years of experience.
You will work with large audio and text datasets, ensuring data quality and accessibility. Experience with Python, Unix commands, and familiarity with audio technologies are essential.
Join us to help redefine media content creation!
ML Data Engineer for Scalable Voice AI Pipelines in London employer: Synthesia
At Synthesia, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to push the boundaries of technology in the heart of Greater London. With a strong emphasis on professional growth, we offer extensive training opportunities and a collaborative environment where your contributions directly impact the future of media content creation. Join us and be part of a forward-thinking team that values creativity, diversity, and the pursuit of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land ML Data Engineer for Scalable Voice AI Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Synthesia. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to scalable data pipelines and machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Unix commands. Be ready to discuss how you've tackled data quality issues in past projects – real examples go a long way!
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace ML Data Engineer for Scalable Voice AI Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and data pipelines. We want to see how your background in Computer Science or Engineering aligns with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Skills:When writing your application, emphasise your proficiency in Python and Unix commands. If you’ve worked with audio technologies, give us examples of how you’ve used them in past projects. We love seeing practical applications of your skills!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the ML Data Engineer role!
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 to join our team at Synthesia!
How to prepare for a job interview at Synthesia
✨Know Your Tech
Make sure you brush up on your Python skills and Unix commands before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to developing scalable data pipelines.
✨Showcase Your Experience
Prepare specific examples from your previous roles where you've worked with large audio and text datasets. Highlight any challenges you faced and how you ensured data quality and accessibility.
✨Familiarise with Audio Technologies
Since the role involves audio technologies, do some research on the latest trends and tools in this area. Being able to discuss these during your interview will show your enthusiasm and commitment to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about Synthesia's R&D team and their current projects. This not only shows your interest in the company but also helps you gauge if it's the right fit for you.
