Staff Machine Learning Engineer

Estee Lauder Companies

New York (NY)

On-site

USD 140,000 - 210,000

Full time

10 days ago
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Job summary

United States Digital Space LLC seeks a Staff Machine Learning Engineer in Long Island City, NY. This hybrid, full-time role combines hands-on ML development with architectural leadership for AI products and the supporting platform.

You will design, build, test, and deploy production AI services, collaborate with engineers, data scientists, product managers, and domain experts, and mentor the team while shaping best practices and standards.

Responsibilities

  • Design, build, test, and deploy production AI services and the platform beneath them.
  • Collaborate with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables.
  • Mentor the team, review work, and help author designs others implement.

Job description

the company | 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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