What are the responsibilities and job description for the Lead Engineer - Machine Learning position at Bloomingdale's Inc.?
Bring Your Amazing Self to Work
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.
At Macy's, Inc. we're on a mission to create a brighter future with bold representation for all. This is our Mission Every One. We know that each person here is unique. So we respect and invest in each individual to create growth, pride, and satisfaction. If we are able to bring our whole selves to work, it translates into a more abundant and wider array of ideas and energy for all to benefit from. Our success will be built on amazing colleagues, working together.
Job Overview
As a Lead Machine Learning Engineer, you will oversee the entire lifecycle of machine learning models. Your role involves collaborating with cross-functional teams, including data scientists, data engineers, software engineers, and DevOps specialists, to bridge the gap between experimental model development and reliable production systems. You will be responsible for automating ML pipelines, optimizing model training and serving, ensuring model governance, and maintaining the stability of deployed systems.
This position requires a blend of experience in software engineering, data engineering, and machine learning systems, along with a strong understanding of DevOps practices to enable faster experimentation, consistent performance, and scalable ML operations.
What You Will Do
- Work with Data Science Leadership and Stakeholders to understand business objectives, map scope of work, and lead junior colleagues in achieving technical deliverables.
- Invest in strong relationships with colleagues and build a successful followership around a common goal.
- Build and optimize ML pipelines for feature engineering, model training, and inference.
- Develop low-latency, high-throughput model endpoints for distributed environments.
- Maintain cloud infrastructure for ML workloads, including GPUs / TPUs, across platforms like GCP, AWS, or Azure.
- Troubleshoot, debug, and validate ML systems for performance and reliability.
- Write and maintain automated tests (unit and integration).
- Support discussions with Data Engineers to work on data collection, storage, and retrieval processes. Collaborate with Data Governance to identify data issues and propose data cleansing or enhancement solutions.
- Drive continuous improvement efforts in enhancing performance and providing increased functionality, including developing processes for automation.
Skills You Will Need
Who You Are
What We Can Offer You
About Macy’s
Now is an exciting time for a Macy's career as we continue to focus on creating exciting and memorable experiences for every Macy's customer, whether their journey starts online or in the store. Our opportunities in Sales, Merchandise, Operations, Customer Service, Warehouse, Marketing, and other areas let you express your creativity and commitment to excellence, grow your career and make a difference to your Macy's colleagues and customers.
Bring your creativity, energy, and ideas to the Macy's team – Apply Today!
This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
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