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.
Requirements
- 7+ years of hands-on experience in data science or machine learning engineering
- Strong foundation in statistical modeling, classical ML algorithms, and predictive modeling
- Demonstrated ability to technically lead a diverse group of data scientists, engineers, and analysts.
- Proficiency in Python, C++, and ML libraries (e.g.,pandas, NumPy, XGBoost, LightGBM).
- Experience with building, deploying, and maintaining models end-to-end in production environments
- Familiarity with Databricks and Spark
- Bonus: Experience in e-commerce, grocery, or subscription-based B2C models
Responsibilities
- Build, deploy, and maintain end-to-end machine learning models (decision trees, Bayesian models, clustering, for example) to drive personalization, recommendations, inventory optimization, and logistics
- Lead and evolve the ML function to support the next phase of Hungryroot’s Data Science team
- Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions
- Ideate and brainstorm with Operations Research Engineers, ML Engineers, Data Engineers, and Data Analysts to continually enhance and drive the ML roadmap forward
- Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization
- Write clean, production-ready code with an emphasis on reusability, performance, and reliability
- Stay current with the latest trends and techniques in machine learning and apply them pragmatically to real-world problems
Other
- Comfortable pair programming and working collaboratively in remote team environments
- Clear communication across technical levels and comfort working with diverse peers
- 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.
