Senior ML Platform Engineer

We’re looking for an MLOps Engineer to build and operate the systems that power Sequen’s AI models in production. This role sits at the intersection of machine learning, infrastructure, and product. You’ll focus on making models usable, reliable, and scalable in real-world environments working closely with research, engineering, and product to bring systems into production.

4–8+ years of experience in MLOps, Machine Learning Engineering, or infrastructure/platform engineering. Experience deploying and serving ultra-low-latency machine learning models (batch and real-time). Production experience with Python and PyTorch. Strong experience with cloud platforms (AWS, GCP, Azure). Experience with containerization (Docker, Kubernetes). Experience building data pipelines, model pipelines, and CI/CD systems. Solid understanding of machine learning lifecycle and distributed systems.

Sequen is committed to diversity and inclusivity in the workplace.

Sequen AI is leading the charge for building frontier ranking models for search and recommendations. Sequen AI's technology specializes in designing end-user behavior for large consumer enterprises. We’re a small, highly technical team working at an early stage, focused on turning recent advances in AI into systems that are reliable, scalable, and useful in practice.