Staff Machine Learning Engineer
Estee Lauder Companies
Estee Lauder Companies is hiring. The Staff Machine Learning Engineer is a player-coach who designs, builds, tests, and deploys production AI products and the platform beneath them while mentoring the team and authoring designs.
What you’ll do
- Design, build, test, and deploy production AI products and the platform beneath them
- Set standards and review others' work
- Author designs others build against
- Mentor the team
- Work with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables
What they’re looking for
- Strong hands-on contributor
- Experience acting as a player-coach
- Comfortable with AI-product and platform engineering
- Familiarity with classical ML, statistics, and experimentation when needed
Skills
- AI: agentic AI, AI products, AI systems
- Machine Learning: classical ML, predictive, inference
- Statistics: statistics, experimentation
- Stateful services: stateful, transactional services, reliability, data-modeling
The post
Estee Lauder Companies | Staff Machine Learning Engineer | Long Island City - NY | Hybrid | Full-Time
As a Staff Machine Learning Engineer, you're a player-coach: a strong hands-on contributor who also sets standards, reviews others' work, authors the designs others build against, and mentors the team. You design, build, test, and deploy production AI products and the platform beneath them, and you shape how we build and integrate AI systems — working with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables. The core of this role is engineering: agentic AI products and their platform, including stateful, transactional services where reliability and data-modeling rigor matter. Classical ML, statistics, and experimentation are valued and let us take on predictive and inference work when the roadmap calls for it — but you may spend long stretches purely on AI-product and platform engineering, so we're looking for someone energized by that work.
Interview process: Recruiter call, meet hiring manager