Machine Learning Data Engineer

We are seeking an experienced Machine Learning Data Engineer to join our team at Synthesia. As the world's leading AI video generation platform, we are revolutionizing the way videos are created by turning cameras into code. In this role, you will be responsible for handling large quantities of text and audio data, utilizing machine learning techniques to build data processing pipelines and preparing datasets for training large models. This is a unique opportunity to make a high-impact contribution at the intersection of AI, Machine Learning, and Large Data.

Designing, developing, and maintaining data processing pipelines, utilizing machine learning techniques

Preparing ready-to-train datasets for large models

Helping to develop the LLM-based TTS system to provide voice clones that are indistinguishable from real voices

Creating high-quality, production-ready code

Taking ownership of production pipelines

• Proficient in using machine learning techniques to build data processing pipelines
• Experience with the software development life cycle
• Familiarity with Big Data tools and frameworks
• Ability to handle vast amounts of text and audio data
• Understanding of machine learning algorithms and workflows
• Collaboration skills with other ML Engineers and Researchers
• Monitoring and troubleshooting data-related issues
• Stay up-to-date with emerging technologies in machine learning and data engineering
• Documentation skills for data pipeline architecture and workflow

• Competitive compensation package including salary, stock options, and bonus
• Hybrid work setting with an office in London
• Cycle to work salary sacrifice scheme for commuting
• 25 days of annual leave plus public holidays
• Regular socials and company retreats
• 4 weeks paid sabbatical after 4 years at the company plus $10,000
• Generous referral scheme
• Huge opportunities for career growth