Nuuly Lead Machine Learning Engineer

Nuuly is seeking a Lead Machine Learning Engineer to join the Shared Services Technology team. 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. 

As a Lead Machine Learning Engineer at Nuuly, you will design, build, and maintain ML algorithm training pipelines and production services for our personalization and inventory forecasting systems. This includes working closely with data scientists, ML engineers, and data engineers to perform experimentation, architecture design, and implementation of machine learning solutions. Your primary responsibility will be to ensure robust, scalable ML systems that enable impactful business outcomes for the Nuuly brand.

• Experimentation: Lead exploratory proof-of-concept studies for potential deployment architectures and evaluate new technologies to optimize system capabilities.
• Design: Work with the team to architect 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 to support robust, scalable production systems.
• Accountability: Maintain a deep understanding of Nuuly’s data science architecture, with a clear articulation of system scaling and reliability limits. Oversee technical project schedules and execute on multiple concurrent projects.

• 5-10 years of relevant experience working in building, managing and supporting ML Systems.
• Strong proficiency in Python and software development best practices.
• Expertise across ML tools and systems, including training orchestration, model monitoring, testing, and deployment.
• Hands-on experience deploying machine learning models in production.
• Familiarity with streaming data tools (e.g., Kafka, Kinesis), databases (relational and NoSQL), and distributed computing (e.g., Spark).
• Proficiency in ML tools like TensorFlow, PyTorch, scikit-learn, and orchestration frameworks (e.g., Kubeflow, MLflow, Airflow).
• Experience with cloud platforms (Google Cloud, AWS, Azure) and containerization technologies (Kubernetes, Docker).

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field, or equivalent job experience.

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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

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.