
Staff Machine Learning Engineer
Ethos Life1 day ago
Base Salary
$156k - $275k/yr
Responsibilities
- Own deployment and production lifecycle infrastructure for product machine learning models.
- Build feature pipelines supporting real-time inference for consumer-facing products.
- Implement monitoring and alerting for data drift, feature quality, and model degradation.
- Develop CI/CD pipelines and retraining infrastructure for iterative model improvements.
- Deploy and operationalize marketing models for attribution, incrementality, and media mix modeling.
- Build data pipelines and feedback loops for marketing models and ad platforms.
- Manage model health monitoring and dependencies across the marketing model inventory.
- Raise the team’s ML engineering standards through code review, documentation, and mentorship.
Requirements
- 7+ years of experience in machine learning engineering, MLOps, or software engineering with a strong ML focus.
- Experience deploying and serving real-time production ML models integrated with consumer-facing products, including AWS SageMaker or an equivalent.
- Strong Python engineering skills, including software design, testing, CI/CD, package development, and SQL.
- Experience building feature pipelines, feature stores, and workflow orchestration such as Airflow.
- Familiarity with Docker, container orchestration, and cloud infrastructure.
- Working knowledge of supervised learning, Bayesian models, and causal inference.
- Experience with marketing measurement, attribution, media mix modeling, or ad platform integrations.
- Experience with dbt or data warehouse tooling.
- Experience in insurtech, fintech, or another regulated industry is preferred.
- Strong communication, cross-functional collaboration, ownership, pragmatic decision-making, and mentorship skills.
Benefits
- Full-time position with a remote work arrangement indicated by #LI-Remote.
- US employee benefits are provided, with further details available through Ethos’s careers site.
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About Ethos Life
Ethos Life builds a technology platform for buying and underwriting term and permanent life insurance, serving consumers directly online and licensed agents. It partners with carriers to offer instant, no-exam policies and supports agent distribution, generating revenue from policy premiums and commissions. Founded in 2016 and headquartered in Austin, Texas, the company is privately held and operates across the U.S.