Staff ML Engineer: AI Platform & Production

The Estée Lauder Companies Inc.; New York (NY); Presencial; USD 119 000 - 197 000; Tempo integral

Resumo da oferta

The Estée Lauder Companies Inc. is seeking a Staff Machine Learning Engineer to design, build, test, and deploy production AI products and the platform supporting them.

You will work with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable solutions on Google Cloud. The role emphasizes an engineering focus on agentic AI products and their platform, with a mix of hands-on coding and leadership, including mentoring team members and

Qualificações

• BS/BA in a quantitative or technical field; graduate degree a plus.
• 5+ years in Software Engineering, ML, or Data Science.
• Strong Python API/service design and testing discipline.
• Experience deploying LLM-powered or agentic systems in production.
• Experience with cloud platforms and data processing at scale.

Responsabilidades

• Design, build, test, and deploy agentic/LLM-powered products and the platform on Google Cloud.
• Apply software engineering rigor to services, including stateful/ transactional systems.
• Use classical ML, statistics, and experimentation where appropriate.
• Build scalable tools for automation across domains like recommendations and personalization.
• Author design docs, uphold clean code standards, and review others' work.
• Mentor engineers and scientists; support early-career and student mentorship.

Conhecimentos

Python

LLM / AI systems

Software engineering

Mentorship

Cloud (GCP)

Formação académica

BS/BA in a quantitative field

Graduate degree is a plus

Ferramentas

SQL / NoSQL databases

Google Cloud Platform

BigQuery

Firestore / Pub/Sub

Descrição da oferta de emprego

The Estée Lauder Companies Inc. is seeking a Staff Machine Learning Engineer to design, build, test, and deploy production AI products and the platform supporting them.

You will work with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable solutions on Google Cloud. The role emphasizes an engineering focus on agentic AI products and their platform, with a mix of hands-on coding and leadership, including mentoring team members and