Bring Your Amazing Self to Work
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).
- Supports 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
- Group Work Lead: Ability to lead portions of pod iteratives; can clearly communicate priorities and play an effective technical support role for junior colleagues.
- Communication: Maintaining timely communication with management and stakeholders on project progress, issues, and concerns. Developing effective communication plans tailored to diverse audiences.
- Consultive Mindset: Go beyond just providing analytics and actively engage stakeholders to understand their challenges and goals. Ability to have a business-first viewpoint when developing solutions.
- Cloud & ML Ops: Expertise in managing cloud-based ML infrastructures (GCP, AWS, or Azure), coupled with DevOps practices, ensures seamless model deployment, scalability, and system reliability. This includes containerization, CI/CD pipelines, and infrastructure-as-code tools. Proficiency in programming languages such as Python, SQL, and Java.
Who You Are
- 5+ years of industry experience working with machine learning tools and technologies.
- Familiarity with agile development frameworks and collaboration tools (e.g., JIRA, Confluence).
- Experience using Tensorflow, PyTorch, scikit-learn, Kubeflow, pandas and numpy. and frameworks like Ray, Dask preferred.
- Expertise in data engineering, object-oriented programming, and familiarity with microservices and cloud technologies.
- An ongoing learner who seeks out emerging technology and can influence others to think innovatively.
- Gets energized by fast-paced environments and capable of supporting multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timelines to team members.
- Dedicated to fulfilling ideals of diversity, inclusion, and respect that Macy's aspires to achieve every day in every way.
- Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
- Able to work a flexible schedule based on department and company needs.
What We Can Offer You
- An inclusive, challenging, and refreshingly fun work environment.
- Competitive pay and benefits rooted in principles of equity.
- Performance incentives and annual merit review.
- Merchandise discounts.
- Health and Wellness Benefits across medical, dental, vision, and additional insurance.
- Retirement Savings Plan with 401k match opportunity.
- Employee Assistance Program (mental health counseling and legal/financial advice).
- Resources for continuous learning, career growth, and leadership development
- 8 paid holidays.
- Paid Time Off (first year prorated depending on start date).
- Tuition reimbursement program.
- Colleague Resource Groups (CRGs) and give-back/volunteer opportunities.
- Empowerment and autonomy to perform impactful work with tangible results.
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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