At a Glance
- Tasks: Develop and maintain data processing pipelines using machine learning techniques.
- Company: Join Synthesia, the world's leading AI video generation platform.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top researchers and engineers in a fast-paced start-up culture.
- Why this job: Make a real impact in AI and video content creation with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong Python skills, and passion for machine learning.
The predicted salary is between 60000 - 80000 £ per year.
About Synthesia
Synthesia is the world's #1 AI video generation platform. It allows users to create personalised videos by choosing an avatar and entering a script in one of 60 languages, with the video ready in minutes. The mission is to make video content creation accessible for all.
About The Role
We are looking for an experienced Machine Learning Data Engineer who loves dealing with large quantities of text and audio data. The successful candidate will be proficient in using machine learning techniques to build data processing pipelines and prepare ready-to-train datasets for large models.
You will be someone who loves to code and build working systems, with experience in the software development life cycle from ideation through implementation to testing and release. You will join a group of more than 40 Engineers in the R&D department and collaborate with multiple research teams across diverse areas.
What will you be doing?
- Designing, developing, and maintaining data processing pipelines, utilising machine learning techniques to handle vast amounts of text and audio data while ensuring data quality and accessibility.
- Leveraging your understanding of machine learning algorithms and workflows to prepare data effectively for usage in large scale models.
- Using Big Data tools and frameworks to process, analyse, and derive insights from structured and unstructured data.
- Collaborating with other ML Engineers and Researchers to understand their data requirements and provide them with ready-to-train datasets.
- Monitoring the performance of data pipelines and machine learning models, troubleshooting data-related issues, and performing root cause analysis to implement strategic solutions.
- Staying up-to-date with emerging technologies and tools in machine learning and data engineering to continually improve our data infrastructure.
- Documenting data pipeline architecture and workflow, presenting findings to relevant stakeholders, and providing training as needed.
Who are you?
- You have a background in Computer Science, Engineering, or a related field with 3+ years of experience. Advanced degrees with a focus on Machine Learning are preferred.
- Proven experience as a Data Engineer or similar role, with a demonstrated history in designing and building scalable data pipelines using Machine Learning techniques.
- Familiarity with audio data processing and voice technologies is highly desirable.
- You have excellent coding skills in Python and are passionate about the software development side of things.
- You have solid proficiency in Unix-like command line operations, including the creation and execution of both quick one-liners and complex bash scripts.
- You put emphasis on documenting your work in a clear and concise manner.
- Ability to work effectively in a fast-paced, agile environment.
- You have excellent verbal and written communication skills and are passionate about what you do!
Nice to have...
- Transformers, Huggingface, Whisper ASR.
- Multi-threaded Python.
- AWS framework.
Machine Learning Data Engineer in London employer: Synthesia
At Synthesia, we pride ourselves on being a pioneering force in the AI video generation industry, offering a dynamic and innovative work environment that fosters creativity and collaboration. As a Machine Learning Data Engineer, you'll have the opportunity to work alongside leading experts in R&D, contribute to cutting-edge projects, and enjoy a culture that values personal growth and continuous learning. With our recent success as a Unicorn and a commitment to making video content creation accessible to all, joining Synthesia means being part of a forward-thinking team that is shaping the future of media.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Synthesia. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and data engineering. This is your chance to demonstrate your coding prowess and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on relevant technologies and tools mentioned in the job description. Be ready to discuss your experience with data pipelines and machine learning algorithms, as well as any challenges you've faced and how you overcame them.
✨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 the Synthesia team.
We think you need these skills to ace Machine Learning Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Data Engineer role. Highlight your experience with data processing pipelines and machine learning techniques, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and machine learning, and explain why you're excited about joining Synthesia. We love seeing candidates who are genuinely enthusiastic about our mission and the work we do.
Showcase Your Projects:If you've worked on any cool projects related to machine learning or data engineering, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures that your details are in the right place. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Synthesia
✨Know Your Stuff
Make sure you brush up on your machine learning algorithms and data processing techniques. Be ready to discuss your experience with tools like Python, AWS, and any relevant frameworks. Synthesia is looking for someone who can hit the ground running, so show them you’ve got the skills!
✨Showcase Your Projects
Prepare to talk about specific projects where you've built data pipelines or worked with large datasets. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand Their Vision
Familiarise yourself with Synthesia's mission and products. Knowing how they use AI in video generation can help you align your answers with their goals. Show enthusiasm for their innovative approach and how you can contribute to their vision of making video content creation accessible.
✨Ask Smart Questions
Prepare thoughtful questions about the team, the technology stack, and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
