• Job Title: ML Data Engineer
• Location: UK (Remote)
• Employment Type: Full-time
• Department: Artificial Intelligence
• Compensation: $200K – $400K

Role Summary

We're looking for an ML Data Engineer to build the data pipelines driving our next-generation generative video models. This role is central to our mission of training models exclusively on clean, high-quality data.

Responsibilities

• Design and implement systems for data ingestion, deduplication, validation, filtering, labeling, and quality scoring.
• Fine-tune and build ML models from scratch and take them from training to production.
• Identify and address dataset/model biases, including creating additional scoring systems to mitigate them.
• Implement observability and telemetry across the ML data lifecycle.
• Collaborate with infrastructure teams to develop efficient data pipelines that support large-scale video model training, running across thousands of GPUs.
• Work in a fast-moving environment with many known and unknown challenges to tackle.

Qualifications

• Strong hands-on experience in ML engineering, including training and optimizing models (e.g., classifiers, segmentation, quality scoring), with a focus on image, video, or audio modalities.
• Deep experience in building and scaling data infrastructure for large-scale ML systems, ideally for video or multi-modal models.
• Experience managing large-scale datasets and pipelines in production.
• Fluency with Python, Spark, Airflow, or similar frameworks.
• Understanding of modern cloud infrastructure: Kubernetes, Terraform, S3/GCS, distributed compute.
• Comfortable operating in environments with ambiguity and evolving priorities.

Nice to Haves

• Experience working on foundational model training pipelines (image, video, or language).
• Experience with video-specific data challenges like frame sampling, codec variability, temporal alignment, and perceptual quality scoring.