--- title: 'Senior Machine Learning Operations Engineer at Hungryroot' canonical: 'https://feeny.ai/job/senior-machine-learning-operations-engineer-hungryroot-remote-aq2hr5vmykwj' type: 'job' last_seen: '2026-09-14' --- # Senior Machine Learning Operations Engineer at Hungryroot - **Company:** Hungryroot - **Location:** Remote - **Work type:** remote - **Posted:** 2026-08-11 - **Last confirmed live:** 2026-09-14 - **Apply:** https://job-boards.greenhouse.io/hungryroot/jobs/6141572004 ## Job description ## About Us Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. We act as your personal assistant for healthy living—getting to know your goals, lifestyle, and budget, and recommending and delivering healthy groceries, easy recipes, and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time, and discover new foods. We believe food is the foundation of health, convenience should not mean compromise, and that everyone is unique in how they eat and live. That’s why we’re building a future in which healthy living is both easy and enjoyable. Hungryroot is a distributed team of top talent across 28+ U.S. states. While we have a headquarters in New York City, our remote-first culture emphasizes collaboration, team-building, and flexibility. Expect regular virtual team events, strong ownership and accountability, and an annual company retreat. ## About the Role We’re hiring a Senior Machine Learning Operations Engineer to join Hungryroot’s Data Science team. Our team owns the production systems that power grocery recommendations and box personalization for Hungryroot customers. Our platform combines Python services, FastAPI APIs running on AWS, Spark pipelines on Databricks, and machine learning models that feed a real-time decisioning engine. The system is actively evolving, and we’re investing in the engineering foundations that will let it scale and adapt with the business. You’ll partner closely with data scientists, operations researchers, and product engineers to build reliable, extensible systems for model-driven personalization. This is an opportunity to shape the architecture behind a core part of Hungryroot’s customer experience. ## Responsibilities - 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: model versioning and registry (MLflow), safe rollout and rollback, and monitoring for data quality and model drift. - Build clean interfaces that let new ML models and decisioning capabilities integrate safely and efficiently, including experimentation and feature-flag tooling. - Strengthen engineering foundations across a growing codebase: automated testing, type checking, CI/CD, infrastructure as code, documentation, and thoughtful system design. - Profile data-heavy services and pipelines; reduce execution time and memory footprint where it matters. - Collaborate with data scientists, operations researchers, and product engineers to translate business needs into robust technical solutions. ## Qualifications - 5+ years in MLOps, ML engineering, or DevOps with a focus on production ML infrastructure. - Strong Python and SQL; Bash for automation and tooling. - Experience designing and operating backend services and APIs (e.g., FastAPI) with attention to reliability, latency, and scalability. - Hands-on experience with Databricks and Spark (jobs/workflows, Unity Catalog a plus) and MLflow or comparable model lifecycle tooling (registry, versioning, experiment tracking). - Experience building CI/CD for ML or data systems (Git, GitHub Actions/Jenkins, Databricks Asset Bundles) and infrastructure as code (Terraform or similar). - Solid AWS fundamentals: IAM, networking, compute/cluster management, containerized workloads (Docker; ECS or EKS). - Experience with production observability: metrics, logging, alerting, and ML-specific monitoring like data quality and model drift Nice to Haves - Familiarity with recommendation, personalization, or operations research systems — especially productionizing them. - Experience with optimization solvers and OR tooling (e.g., Gurobi, OR-Tools) alongside data science or operations research teams. - Experience integrating experimentation and feature-flag platforms (e.g., Statsig) into production ML services and data pipelines, ideally with warehouse-native setups on Databricks. - Feature store experience (Databricks Feature Store, Feast, Tecton) serving consistent online/offline features. - Experience with low-latency model serving and deployment patterns (canary, blue/green, shadow). - Experience optimizing cost and performance of data-heavy workloads (Spark tuning, cluster right-sizing). - Additional languages such as Scala or C++. ## Perks & 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 Expected Pay Range $170,000 - $210,000 ## #LI-REMOTE The employer will not sponsor applicants for work visas. Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class. ## About Hungryroot ## Company Overview - **One-liner**: Hungryroot uses AI to personalize grocery, meal kit, and supplement deliveries, making healthy eating effortless. - **Entity Type**: Private (funded; $75.4M total funding) - **Headquarters**: New York, New York, United States - **Founded**: 2015 - **Founders**: Not publicly disclosed in search results ## Core Business - **Primary industry**: Food & Beverage Services / Food Delivery - **Target customers**: B2C – health-conscious consumers, individuals with dietary preferences (gluten-free, high-protein, vegetarian, etc.), and busy households looking to save time on meal planning and grocery shopping. - **Mission statement**: “To build the most consumer-centric food and wellness company to ever exist” – acting as a personal assistant for healthy living by tailoring groceries, recipes, and supplements to each customer’s goals, lifestyle, and budget. [hungryroot.com](https://www.hungryroot.com/) ## Products & Services - **Personalized Grocery & Meal Kit Delivery**: Customers complete a profile covering diet, health goals, and budget; Hungryroot curates a weekly box of groceries, easy recipes, and free gifts. Combines the convenience of a meal kit with the variety of a grocery store. [hungryroot.com](https://www.hungryroot.com/) - **Supplements**: Essential supplements (e.g., anti-inflammatory, gut-friendly) offered alongside food items. - **AI-Powered Recommendation Engine**: The core technology that personalizes every delivery based on individual preferences, aiming to save customers an average of 3 hours per week and over $200 compared to takeout. [hungryroot.com](https://www.hungryroot.com/) ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Annual Revenue of **$161.5M** (as of latest data on LinkedIn) [linkedin.com](https://www.linkedin.com/company/hungryroot) - **Total Funding**: **$75.4M** across 5 rounds, including seed (2015), Series A (2016, 2017), Series B (2018 led by Lightspeed Venture Partners), and a venture round in 2022. [linkedin.com](https://www.linkedin.com/company/hungryroot) - **Notable Investors/Partners**: **Lightspeed Venture Partners** (led multiple rounds) [linkedin.com](https://www.linkedin.com/company/hungryroot) - **Growth Signals**: - Headcount grew **53% YoY** to 176 employees (as of mid-2026). [linkedin.com](https://www.linkedin.com/company/hungryroot) - 14M+ deliveries completed; 4.8 average TrustPilot rating; 90% of surveyed customers reported improved health. [hungryroot.com](https://www.hungryroot.com/) - Remote-first company with talent across 28+ states. [hungryroot.com](https://www.hungryroot.com/careers/) ## Competitive Advantages - **AI‑First Personalization**: The entire shopping experience is algorithm‑driven, adapting to each customer’s dietary needs, budget, and goals – a moat that competitors like HelloFresh or Blue Apron have been slower to match at scale. - **Hybrid Model**: Combines the flexibility of grocery delivery (choose individual items) with the simplicity of meal kits (recipes included), reducing food waste and increasing customer satisfaction. - **Customer‑Obsessed Metrics**: Claims an average of 3 hours saved per week and $200 saved vs. takeout, backed by customer surveys. [hungryroot.com](https://www.hungryroot.com/) - **Strong Brand Trust**: 4.8 stars on TrustPilot and high customer retention signals (free gift every delivery, easy pause/cancel). [hungryroot.com](https://www.hungryroot.com/) ## Strategic Focus - **Scale Personalization**: Continued investment in AI and data science (see job postings for Senior Data Scientist, Senior Software Engineer, Platform). [greenhouse.io](https://job-boards.greenhouse.io/hungryroot/jobs/5978366004) - **Expand Product Categories**: Adding supplements and targeting specific health needs (anti‑inflammatory, gut‑friendly, high protein) to broaden the customer base. - **Operational Efficiency**: Hiring for fulfillment and operations roles (e.g., Operations Manager in Hiram, Georgia) to support national growth while maintaining a remote‑first engineering culture. [greenhouse.io](https://job-boards.greenhouse.io/hungryroot/jobs/5978366004) - **International Talent**: Presence in Colombia, Poland, and India suggests a global hiring strategy for tech and operations. [linkedin.com](https://www.linkedin.com/company/hungryroot) ## Why Work Here - **Remote‑First Culture**: Employees work from home across 28+ states; intentional in‑person gatherings (“Camp”) foster connection. [hungryroot.com](https://www.hungryroot.com/careers/) - **People‑First Values**: Free groceries delivered to your door, real growth opportunities, and a transparent, ownership‑driven environment. [hungryroot.com](https://www.hungryroot.com/careers/) - **Impact‑Driven Work**: Engineers see direct impact – e.g., funnel experiments that drove a 20% YoY lift in acquisition. [hungryroot.com](https://www.hungryroot.com/careers/) - **Strong Employer Rating**: 4.2/5 on LinkedIn (68 reviews), with high marks for Culture (4.2) and Career Development (4.1). [linkedin.com](https://www.linkedin.com/company/hungryroot) - **Open Roles (as of mid‑2026)**: Senior Software Engineer, Senior Data Scientist, Senior Product Manager, Senior Backend Engineer (Search), and more. [greenhouse.io](https://job-boards.greenhouse.io/hungryroot/jobs/5978366004) ## Sources 1. [hungryroot.com](https://www.hungryroot.com/) – Homepage product and customer stats 2. [hungryroot.com/careers](https://www.hungryroot.com/careers/) – Culture and employee testimonials 3. [linkedin.com/company/hungryroot](https://www.linkedin.com/company/hungryroot) – Company details, funding, headcount, revenue, reviews 4. [greenhouse.io/hungryroot](https://job-boards.greenhouse.io/hungryroot/jobs/5978366004) – Current job openings 5. [builtin.com/company/hungryroot](https://builtin.com/company/hungryroot) – Additional culture and office info ## Other roles at Hungryroot - [Senior Backend Software Engineer](https://feeny.ai/job/senior-backend-software-engineer-hungryroot-remote-f2g3sseb1ccd) - [Senior Manager, Accounting & Reporting](https://feeny.ai/job/senior-manager-accounting-reporting-hungryroot-remote-fa0qrz3e4r2f) - [Systems Operations Support Analyst](https://feeny.ai/job/systems-operations-support-analyst-hungryroot-remote-c9jbr8bjnev1) - [Site Leader](https://feeny.ai/job/site-leader-hungryroot-hiram-2yvbdf3jfbwb) — Hiram, GA - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-mercury-san-francisco-ca-new-york-cxtq8c1pd26m) — San Francisco CA New York NY Portland OR OR Within Canada OR, United States - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-agzen-somerville-9jxjfy0j9v5f) — Somerville, MA - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-smartsheet-bengaluru-ww91dwb6hzz5) — Bengaluru, India - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-zeromark-new-york-x54ycc8yj6x5) — New York, NY - [Senior Machine Learning Operations Engineer](https://feeny.ai/job/senior-machine-learning-operations-engineer-cargurus-boston-massachusetts-a4gvs7wvmee8) — Boston Massachusetts, United States