Staff, MLOps Engineer
Sequen AIPersonalization & company
New York, United States$220,000 – $280,000Lead
Greycroft
White Star Capital
Threshold Ventures
Correlation Ventures
Vinyl Capital
Data & AI
About the role
TL;DR
Build, scale, and operate critical systems for AI models in production.
- •We are looking for an MLOps Engineer to build, scale, and operate the critical systems that power Sequen’s AI models in production.
- •This is a foundational, purely infrastructure-focused role sitting at the intersection of machine learning, backend distributed systems, and platform performance.
- •Key Responsibilities Build ML infrastructure: Design, operate, and maintain robust systems for low-latency model deployment, distributed inference pipelines, and automated real-time telemetry.
- •Scale ranking systems: Move models cleanly from experimentation to production, optimizing trade-offs between latency, throughput, and cost.
- •Implement model CI/CD: Build reliable infrastructure for automated model versioning, canary releases, and zero-downtime rollbacks.
- •Drive system observability: Architect and monitor real-time pipelines to track model performance and system reliability.
- •Develop evaluation loops: Engineer robust evaluation pipelines to continuously validate live inference accuracy.
- •Requirements 4–8+ years of practical experience in MLOps, Machine Learning Engineering, or distributed platform/infrastructure engineering.
- •Hands-on experience deploying and serving ultra-low-latency machine learning models under heavy, real-time concurrent workloads.
- •Deep, production-grade proficiency with Python and PyTorch.
- •Comfortable across major cloud platforms (AWS, GCP, or Azure) utilizing modern containerization and orchestration tooling (Docker, Kubernetes).
- •Experience designing robust, scalable data pipelines, model registries, and automated CI/CD infrastructures.
Required skills
PythonPyTorchDockerKubernetesAWSGoogle CloudAzureMLflowCI/CDMicroservicesREST API
Nice-to-have skills
RustLLMs
Domain expertise
airetail
Benefits & perks
Performance Bonus, Meaningful Equity, Full premium medical/dental/vision coverage, Unlimited paid time off
Tech stack
PythonPyTorchDockerKubernetesAWSGoogle CloudAzureMLflowRust