Staff Machine Learning Engineer
Estée Lauder Companies · Beauty / Cosmetics
staff
Salary Range (USD)
Negotiable
Location
Long Island City, USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Design, build, test, and deploy production AI products and the underlying platform.
- • Set engineering standards, review peers' work, author designs, and mentor the team.
- • Collaborate with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables.
- • Engineer agentic AI products and stateful, transactional services with a focus on reliability and data-modeling rigor.
- • Apply classical machine learning, statistics, and experimentation for predictive and inference tasks as needed.
Required Skills
Strong hands‑on machine learning engineering experienceExperience designing and deploying production AI systemsKnowledge of classical ML, statistics, and experimentationAbility to build reliable, stateful transactional servicesMentorship and ability to set engineering standards
Engineering Culture & Tech Stack
player‑coach
hands‑on
mentor
Raw Post
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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
https://careers.elcompanies.com/careers/job/1168273194779
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