Senior ML Platform Engineer — Build Core ML Infra

Openkrill; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

DailyPay is seeking a Senior Software Engineer to build DailyPay's ML platform from the ground up. You will design and build the infrastructure that every machine learning model at DailyPay runs on: feature engineering platform, model training and deployment, serving infrastructure, and the monitoring that keeps it all reliable in production.

This is a software engineering role, primarily working in Python, Scala, Go, and managing infra as code with Terraform.

Qualifications

• 5+ years of professional software engineering experience building and operating production services.
• Strong background in distributed systems, service-oriented architecture, and API design.
• Experience across the full software lifecycle: design, testing, deployment, and on-call operations.
• Proficiency in Python, with a track record of writing production-quality, tested, maintainable code.
• Familiarity with ML frameworks (scikit-learn, XGBoost, PyTorch) and how they are used by AI and Data Scientists.
• Experience with event streaming platforms (Apache Kafka or equivalent).
• Experience with infrastructure-as-code (Terraform or CloudFormation), including module design and environment separation
• Solid CI/CD experience: GitHub Actions or equivalent; designing and operating deployment pipelines
• Experience with containerization and orchestration (Docker, and Kubernetes or ECS)
• Experience building or operating ML infrastructure: training pipelines, model serving, feature stores, or model registries
• Strong cloud platform proficiency: AWS preferred (SageMaker, Lambda, S3, EC2, IAM, ECS), or equivalent GCP (Vertex AI, Cloud Functions, GCS, Compute Engine, Cloud Run) or Azure (Azure ML, Functions, Blob Storage, VMs, AKS) experience
• Experience with monitoring and observability tooling (Datadog, Prometheus, or Grafana)
• Strong SQL skills and experience with data pipeline tooling (dbt, Glue, Snowflake)
• Excellent communication skills; comfortable working across data science, engineering, and product teams

Responsibilities

• Build and own DailyPay's unified ML platform from ground up for feature generation, training, deployment, and inference.
• Design scalable, reliable services and pipelines with end-to-end delivery.
• Develop self-service infrastructure enabling data scientists to define and ship features and models independently.
• Manage and optimize AWS infrastructure for ML workloads; experience with SageMaker or Vertex AI is a plus.
• Develop and maintain CI/CD pipelines for ML models and infrastructure.
• Design monitoring and alerting for ML infrastructure with tools like Datadog.
• Provide technical leadership and mentorship; drive architectural decisions and set team norms.
• Mentor junior engineers and share domain knowledge.
• Ensure security and compliance across ML pipelines and data handling.

Skills

Python

Distributed systems

API design

CI/CD

Cloud platforms

Kafka

Terraform

Docker

Kubernetes

Datadog

SQL

Tools

Terraform

CloudFormation

GitHub Actions

Docker

Kubernetes

SageMaker

Vertex AI

ECS

Job description

DailyPay is seeking a Senior Software Engineer to build DailyPay's ML platform from the ground up. You will design and build the infrastructure that every machine learning model at DailyPay runs on: feature engineering platform, model training and deployment, serving infrastructure, and the monitoring that keeps it all reliable in production.

This is a software engineering role, primarily working in Python, Scala, Go, and managing infra as code with Terraform.