Staff ML Engineer: Real-Time Inference & MLOps Lead (Remote)

JoinStartup; United States; Remote; USD 156,000 - 275,000; Full time

Job summary

Ethos Life is seeking a Staff Machine Learning Engineer to own deployment pipelines, feature stores, and production ML systems across product and marketing teams. You will ship scalable infrastructure for real-time inference and automated monitoring, collaborating with data scientists and engineers to ensure robust, compliant models.

The role emphasizes building CI/CD pipelines, retraining infrastructure, and bridging data science with software engineering to raise ML engineering standards

Qualifications

• 7+ years in ML engineering, MLOps, or software engineering with ML focus.
• Experience deploying and serving real-time production ML models integrated with consumer-facing products (AWS SageMaker or equivalent).
• Strong Python engineering skills: design, testing, CI/CD, packaging, and SQL.

Responsibilities

• Own deployment and production lifecycle of models powering product experiences.
• Build and maintain feature pipelines for real-time inference on consumer surfaces.
• Implement automated monitoring and alerting for data drift and model degradation.

Skills

Python

MLOps

AWS SageMaker

SQL

Airflow

Docker

CI/CD

Feature stores

Real-time inference

Monitoring

Tools

dbt

Kubernetes

Job description

Ethos Life is seeking a Staff Machine Learning Engineer to own deployment pipelines, feature stores, and production ML systems across product and marketing teams. You will ship scalable infrastructure for real-time inference and automated monitoring, collaborating with data scientists and engineers to ensure robust, compliant models.

The role emphasizes building CI/CD pipelines, retraining infrastructure, and bridging data science with software engineering to raise ML engineering standards