Senior Machine Learning Operations Engineer

🕒 August 12

🇺🇸 United States – Remote

💵 $170k - $210k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Hungryroot

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🏥 Healthcare

📦 Logistics

🍽️ Food & Beverage

Healthcare • Logistics • Food & Beverage

Hungryroot is a personalized, healthy food delivery service that focuses on making healthy eating accessible and convenient. The company offers tailored meal plans and easy-to-prepare recipes that cater to a variety of dietary preferences and goals, including gluten-free, vegetarian, high-protein, dairy-free, and more. Customers can save time on meal planning, shopping, and cooking, while reducing food waste and saving money. Hungryroot emphasizes fresh, whole foods and provides a wide range of meal options to support different nutritional needs. It aims to help customers achieve their health goals, such as reducing inflammation or increasing energy, with a flexible and budget-friendly subscription model.

📋 Description

• Design, build, and operate scalable backend services, APIs, and data pipelines • Improve the reliability, performance, and observability of production ML and optimization systems • Own the path from trained model to production, including model versioning and registry, safe rollout and rollback, and monitoring for data quality and model drift • Build interfaces for safely integrating new ML models and decisioning capabilities, including experimentation and feature-flag tooling • Strengthen engineering foundations through automated testing, type checking, CI/CD, infrastructure as code, documentation, and system design • Profile data-heavy services and pipelines and reduce execution time and memory footprint • Collaborate with data scientists, operations researchers, and product engineers to translate business needs into technical solutions

🎯 Requirements

• 5+ years in MLOps, ML engineering, or DevOps focused on production ML infrastructure • Strong Python and SQL; Bash for automation and tooling • Experience designing and operating reliable, low-latency, scalable backend services and APIs such as FastAPI • Hands-on experience with Databricks and Spark, including jobs/workflows; Unity Catalog is a plus • Experience with MLflow or comparable model lifecycle tooling for registry, versioning, and experiment tracking • Experience building CI/CD for ML or data systems using Git, GitHub Actions/Jenkins, or Databricks Asset Bundles • Experience with infrastructure as code using Terraform or similar • Solid AWS fundamentals: IAM, networking, compute/cluster management, Docker, ECS or EKS • Experience with production observability: metrics, logging, alerting, data quality monitoring, and model drift monitoring • Employer will not sponsor applicants for work visas

🏖️ Benefits

• Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide! • Equity • Unlimited vacation policy • Universal paid parental leave • Monthly Hungryroot credit for delicious, healthy groceries • Comprehensive health, vision, dental, and life insurance • 401k with Company Match • A work from home stipend to support your initial home-office setup • Annual company retreat • Regular virtual team events