Nuuly Machine Learning Engineer

Urban Outfitters, Inc.; Philadelphia (Philadelphia County); On-site; USD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer, where you'll play a pivotal role in developing and deploying cutting-edge machine learning models. This innovative firm focuses on personalization and inventory forecasting, leveraging a state-of-the-art Kafka-based streaming data platform. You'll collaborate with senior team members to design robust ML solutions, ensuring high performance and reliability. With a commitment to diversity and inclusion, this role offers a dynamic environment to grow your skills while contributing to exciting projects that shape the future of apparel rental services. If you're passionate about machine learning and eager to make an impact, this opportunity is for you!

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off (PTO)

Employee Discounts

Retirement Savings

Flexible Work Hours

Qualifications

• Strong coding skills with proficiency in Python required.
• 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

Data Processing

Model Evaluation

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Kafka

Docker

Kubernetes

AWS

Job description

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
• Streaming data tools (Kafka, Kinesis, Pub/Sub, etc.)
• Datastores (relational databases, wide column stores, document stores, etc.)
• Distributed computing systems (Hadoop, Spark, etc.)
• ML tools (TensorFlow, PyTorch, scikit-learn, Jupyter Notebooks, Pandas, NumPy, etc.)
• Data or ML orchestration frameworks (KubeFlow, MLflow, Airflow, etc.)
• Cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.)
• Cloud infrastructure (Virtual Machines, Cloud Storage, IAM, etc.)
• Kubernetes
• 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.