Staff Machine Learning Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $156k - $275k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Ethos

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Ethos is a life insurance provider offering a fast and convenient way for customers to apply for and receive life insurance coverage. Specializing in no-medical-exam policies, Ethos allows individuals to secure life insurance quickly, with coverage options ranging from term life for various durations to guaranteed whole life policies. The company emphasizes ease of use, providing online tools such as coverage calculators and educational resources, as well as customer and agent support. Ethos also offers additional benefits like estate planning aids as part of its insurance packages.

📋 Description

• Own the deployment and production lifecycle of models powering product experiences, including coverage recommenders, user-to-channel routing, and agent assignment logic • Build and maintain feature pipelines feeding real-time inference for consumer-facing product surfaces • Implement automated monitoring and alerting for data drift, feature quality issues, and model degradation • Develop CI/CD pipelines and retraining infrastructure enabling data scientists to ship iterative improvements • Deploy and operationalize marketing models for attribution, incrementality, and media mix • Automate feedback loops to ad platforms • Build reliable data pipelines delivering clean, timely inputs to marketing models and measurement workflows • Own model health monitoring and dependency management across the marketing model inventory • Collaborate with data scientists, product engineers, and non-technical stakeholders • Contribute through code review, documentation, and mentorship

🎯 Requirements

• 7+ years 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 (AWS SageMaker or equivalent) • Strong Python engineering skills: software design, testing, CI/CD, package development, and SQL • Experience building and maintaining feature pipelines, feature stores, and workflow orchestration (e.g., Airflow) • Familiarity with Docker, container orchestration, and cloud infrastructure • Strong communication skills; able to collaborate fluidly with data scientists, product engineers, and non-technical stakeholders • Working knowledge of ML methods: supervised learning, Bayesian models, causal inference, enough to debug a model without a data scientist in the room • Marketing measurement: attribution, media mix modeling, or ad platform integrations • dbt or data warehouse tooling • Experience in insurtech, fintech, or other regulated industries • Bias toward ownership and closing infrastructure gaps • Ability to balance pragmatic solutions with over-engineered infrastructure tradeoffs • Ability to bridge data science and engineering and work fluently across both disciplines • Ability to raise the team's ML engineering bar through code review, documentation, and mentorship

🏖️ Benefits

• US benefits details provided at https://www.ethoslife.com/careers/ • Bonus, equity, and benefits may apply in addition to the base salary

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