Staff Machine Learning Engineer
estee lauderBrooklyn, NY
Staff Machine Learning Engineer
estee lauderBrooklyn, NYLead L6
Overview:
In this Staff Machine Learning Engineer role you will design, build, and deploy production AI products and the supporting platform on Google Cloud, acting as a hands-on contributor and technical leader. You’ll shape agentic/LLM-powered solutions, balance ML science with robust software engineering, and mentor engineers and scientists. The role emphasizes scalable, reliable, data-driven AI initiatives across cross-functional teams, with a focus on impact in customer experiences and measurement. You’ll join a mission-driven environment that values experimentation and collaboration. Compensation / Benefits health insurance (medical, dental, vision) wellness and family support programs life and disability insurance retirement savings plans paid leave, holidays and vacation education-related programs
Responsibilities:
Design, build, test, and deploy production agentic/LLM-powered products end-to-end on Google Cloud and its platform Apply software engineering rigor to stateful and transactional systems including data modeling, concurrency, idempotency, reliability, observability, and testing Leverage classical ML, statistics, and experimentation for predictive modeling and inference where appropriate Develop scalable tools for automation in recommendations, personalization, conversational experiences, and measurement/incrementality Author design documents, uphold code quality and documentation standards, and review teammates’ designs Mentor and grow engineers and scientists and support early-career mentorship Collaborate with engineering, product, and domain teams on major cross-functional automation, measurement, and modeling initiatives Maintain 80% technical contribution with up to 20% leadership/management responsibilities Contribute to ELC’s diversity and inclusion agenda
Key requirements:
5+ years of experience across Software Engineering, Machine Learning, and/or Data Science (3+ years with a graduate degree) Strong Python software engineering, API/service design, data structures, testing discipline, and production-grade service operation Experience building and deploying LLM-powered or agentic systems in production or a strong production ML background with interest in this space Experience deploying and operating systems on a major cloud platform (Google Cloud a plus) with scalable data processing practices Experience using or adopting agentic/AI-assisted development tools with sound judgment on quality Proven mentorship track record and a collaborative, ownership-driven working style Familiarity with stack elements: Google Cloud (Vertex AI, BigQuery, Firestore, Pub/Sub), FastAPI, container-based CI/CD, Model Context Protocol (MCP) Experience designing a technical roadmap and leading execution in a business environment Genuine classical ML/data science depth or interest in NLP/agent frameworks is a plus mentorship continuous learning bias for simplicity Python (clean API/service design) SQL/NoSQL databases LLM-powered/agentic systems
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Level
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