Senior Software Engineer, ML Platform
Core
Build DailyPay's unified ML platform infrastructure (feature engineering, training, deployment, serving, monitoring) to enable data scientists to ship models at scale.
Role type
Senior Software Engineer (ML Platform/MLOps)
Builds
Scalable, reliable ML infrastructure and CI/CD pipelines for model development and deployment
Domain
Fintech / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Python, distributed systems, API design, infrastructure-as-code (Terraform/CloudFormation), CI/CD (GitHub Actions), containerization (Docker, Kubernetes/ECS), cloud platforms (AWS/GCP/Azure), SQL, data pipeline tooling (dbt, Glue, Snowflake), observability (Datadog, Prometheus, Grafana)
Preferred skills
ML frameworks (scikit-learn, XGBoost, PyTorch), event streaming (Kafka), experimentation infrastructure, fintech domain experience, open-source contributions
Responsibilities
Architect and build unified ML platform services; design scalable training and inference pipelines; build self-service tooling for data scientists; manage and optimize cloud infrastructure; develop CI/CD pipelines; design monitoring and alerting systems; lead technical design discussions; mentor junior engineers; ensure security and compliance in ML pipelines
Seniority
Senior, hands-on IC with technical leadership