Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries
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
- Comfortable pair programming and working collaboratively in remote team environments
- Clear communication across technical levels and comfort working with diverse peers
- 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
Skills
Hungryroot
Online meal kit and grocery delivery service
About Hungryroot
Hungryroot provides a service that merges meal kits with grocery delivery, making it easier for busy individuals and families to prepare meals without the hassle of planning or shopping. Customers can choose from a variety of meal options, including dairy-free, gluten-free, and plant-based dishes, tailored to their dietary preferences. By taking a quiz on the website, users receive personalized meal recommendations that align with their eating habits and goals. The subscription model allows customers to receive deliveries starting at $65, with the flexibility to skip weeks or cancel anytime. Hungryroot stands out in the online food delivery market by focusing on healthy, easy-to-prepare meals and offering a unique combination of meal kits and grocery items, catering specifically to health-conscious consumers.
New York City, New YorkHeadquarters
2015Year Founded
$76.9MTotal Funding
SERIES_CCompany Stage
Food & Agriculture, Consumer GoodsIndustries
51-200Employees
Benefits
Remote Work Options
Unlimited Paid Time Off
Parental Leave
Health Insurance
Vision Insurance
Dental Insurance
Life Insurance
Wellness Program
401(k) Retirement Plan
401(k) Company Match
Home Office Stipend
Risks
A class action lawsuit could harm Hungryroot's reputation and finances.
HelloFresh's strong marketing may overshadow Hungryroot's market presence.
New leadership may lead to strategic shifts misaligned with brand identity.
Differentiation
Hungryroot uses AI to offer personalized grocery and meal kit services.
The company combines meal kits with grocery delivery for added convenience.
Hungryroot offers a variety of dietary options, including plant-based and gluten-free meals.
Upsides
Hungryroot's SmartCart(TM) AI tool enhances personalized shopping experiences.
Partnerships with brands like Actual Veggies expand product offerings.
The rise in plant-based diets boosts demand for Hungryroot's offerings.
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