About the job
About the Role
We are seeking a proactive and skilled Senior Machine Learning Engineer ready for an immediate start. This role blends robust machine learning expertise with backend infrastructure knowledge, essential for transitioning models from research to dependable, scalable production systems. You will be at the forefront of innovation in generative video AI while applying MLOps methodologies to ensure efficient operation at scale.
In this position, you will collaborate closely with backend, platform, and content teams to create high-performance machine learning components that meet rigorous standards for quality, latency, and throughput.
Key Responsibilities
- Train, fine-tune, and assess generative video and multimodal models (including image-to-video, text-to-video, lip-sync, and character consistency).
- Develop and manage comprehensive ML pipelines encompassing data ingestion, preprocessing, training, evaluation, and versioning.
- Oversee model deployment and serving infrastructure, focusing on containerization, GPU-optimized inference, model registries, and rollout strategies.
- Implement MLOps best practices such as experiment tracking, model monitoring, drift detection, A/B testing, and observability.
- Design and maintain scalable inference systems tailored for low latency, high throughput, and economical GPU utilization.
- Devise caching and batching strategies to achieve SLA targets in production video generation workflows.
- Partner with backend engineering teams to integrate ML services into distributed systems.
- Contribute to the long-term roadmap, including foundational model training strategies, LoRA fine-tuning pipelines, and multi-character generalization.
