Nuuly Machine Learning Engineer

Atexo; Philadelphia (Philadelphia County); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to enhance its innovative data science capabilities. This role involves building and maintaining machine learning pipelines, ensuring robust production systems, and working with cutting-edge technologies to drive personalization and dynamic pricing. Join a forward-thinking team that values creativity and technical expertise, where your contributions will directly impact the future of subscription-based apparel rental services. If you're passionate about machine learning and eager to work in a collaborative environment, this opportunity is perfect for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Employee Discounts

Retirement Savings

Qualifications

• Strong coding skills and software development experience.
• Familiarity with machine learning approaches and terminology.

Responsibilities

• Build and maintain ML model training and evaluation pipelines.
• Implement and maintain automated monitoring of deployed models.

Skills

Python

Machine Learning

Model Experimentation

Hyperparameter Tuning

Tools

Docker

Job description

Philadelphia, Pennsylvania, United States

Developer + Engineer

Role Summary

Nuuly is seeking a Machine Learning Engineer to join our team! The URBN Machine Learning Engineering Team is part of the URBN Data Science organization and is responsible for the Data Science, Machine Learning, Analytics, and Reporting functions at Nuuly, a subscription-based apparel rental service. Our team functions as a full-service Machine Learning provider, managing projects from ideation and requirements through to production deployment. Nuuly’s state-of-the-art Kafka-based streaming data platform enables real-time data access and offline capabilities, supporting flexible and iterative model development to power personalization, inventory forecasting, and dynamic pricing.

Role Responsibilities

As a Machine Learning Engineer , your primary focus will be building and maintaining ML model training and evaluation pipelines and production services for a new personalization system. Responsibilities will include:

• Experimentation: Perform exploratory proof-of-concept studies to evaluate potential deployment architectures and new technologies.
• Design: Work with the senior team members to design and deploy solutions for offline training and real-time ML model deployment that meet Nuuly’s requirements for format, cost, retraining frequency, and inference latency.
• Implementation: Build and maintain ML pipelines, including data processing, model training, and inference applications and services to support robust, scalable production systems.
• Deployment: Implement and maintain automated monitoring of deployed models to assess their performance, uptime, etc.

Role Qualifications

• Strong coding skills and software development experience. Proficiency in Python is required
• Familiarity with machine learning approaches and terminology. Understanding of the practical aspects of ML, e.g. train/dev/test sets, precision and recall, overfitting, hyperparameter tuning, etc.
• Understanding of model experimentation, monitoring, updating, and maintenance in a production setting.

Experience with any of the following is a plus, but not required :

• Experience deploying machine learning models in production
• Datastores (relational databases, wide column stores, document stores, etc.)
• Docker

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The Perks

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

EEO Statement

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.