Macy's · 11 hours ago
Lead Engineer - Machine Learning
Johns Creek, GA
Full-time
Onsite
Senior Level, Lead/Staff
$151K/yr - $252K/yr
5+ years expMacy's is a storied company that has captured the hearts of America for over 160 years. The Lead Machine Learning & AI Engineer will advance Macy’s enterprise AI strategy by designing, deploying, and optimizing machine learning solutions that deliver measurable business impact while providing technical leadership and collaborating with stakeholders.
Consumer GoodsFashionRetail
Responsibilities
Lead the design, development, and deployment of advanced Machine Learning and AI models for enterprise use cases using TensorFlow, PyTorch, scikit-learn, and related frameworks
Drive AI enablement by integrating generative AI techniques and large language models (LLMs) into production workflows for personalization, automation, and operational efficiency
Build and automate scalable ML pipelines for feature engineering, model training, and inference in cloud environments such as Google Cloud Platform (GCP), leveraging BigQuery and SQL
Implement strategies for real-time inference and optimize model performance for large-scale datasets
Lead the integration of generative AI techniques and large language models (LLMs) into workflows, powering next-generation customer engagement and intelligent automation
Apply CI/CD best practices, containerization, and infrastructure-as-code tools to streamline ML and AI operations
Collaborate with Data Scientists and business stakeholders to validate production readiness and align solutions with strategic priorities
Ensure compliance with Responsible and Explainable AI standards, including governance frameworks and risk management protocols
Troubleshoot, debug, and validate ML and AI systems for performance, scalability, and reliability
Mentor engineers and foster a culture of technical excellence and continuous learning
Perform data science duties when needed to support project continuity and team cross-training
Qualification
Required
5+ years of experience applying machine learning and AI engineering in business environments, including experience leading technical initiatives and mentoring others
Deep expertise in machine learning frameworks, cloud-based ML infrastructure, and scalable data pipelines
Proficient in Python, SQL, TensorFlow, PyTorch, scikit-learn, and ML Ops practices including containerization, CI/CD, and infrastructure-as-code
Experience developing and deploying ML solutions in public cloud environments
Skilled in designing and scaling complex data pipelines and evaluating model performance
Proficient in SQL, BigQuery, and GCP products
Comfortable influencing stakeholders and managing priorities in fast-paced environments
Ability to translate complex technical concepts into clear, actionable insights for diverse audiences
Mentor engineers and foster a culture of technical excellence and continuous learning
Ensure compliance with Responsible and Explainable AI standards, including governance frameworks and risk management protocols
Troubleshoot, debug, and validate ML and AI systems for performance, scalability, and reliability
Preferred
Advanced degree preferred
Familiarity with BI tools such as Tableau or Power BI
Benefits
Merchandise discounts
Performance-based incentives
Annual merit review
Employee Assistance Program with mental health counseling and legal/financial advice
Tuition reimbursement
401k, medical/vision/dental/life/disability insurance options
PTO accruals
Holidays
Company
Macy's
Macy's is America’s store for life. The largest retail brand of Macy's, Inc.
10001+ employees
H1B Sponsorship
Macy's has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2022 (10)
2021 (26)
2020 (37)
Funding
Current Stage
Late StageLeadership Team
Bobby Amirshahi
Senior Vice President, Corporate Communications + Public Affairs
Michael Krans
VP, Retail Media
Recent News
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