ML Engineering Manager

New

Skills

Backend Development Collaboration Tools Data Labeling Generative AI Ground Truth Validation High-Throughput Systems Low-Latency Services Machine Learning Model Evaluation Scalable Solutions

We are seeking a Machine Learning Engineering Manager specializing in Personalization to design and enhance ML systems that ensure safety across personalization surfaces. This role involves developing scalable and reusable solutions across teams, while operating high-throughput, low-latency backend services powered by machine learning.

Key Responsibilities
  • Design and improve ML systems for safety across personalization surfaces.
  • Platformize safety systems for scalable, reusable solutions.
  • Develop and operate high-throughput, low-latency backend services powered by ML.
  • Collaborate with Product, Trust & Safety, and Content Platform teams to deliver practical solutions.
  • Work on traditional ML and generative AI systems, including external and internal models.
  • Contribute to evaluation frameworks: labeling, ground truth, and validation.
Required Skills & Qualifications
  • Experience in building and deploying ML systems in production.
  • Hands-on experience with traditional ML and generative AI techniques.
  • Proficiency with scalable backend systems focusing on reliability, low latency, and high availability.
  • Experience in applying ML solutions to real-world product challenges, ideally consumer-facing.
  • Familiarity with model evaluation processes, including labeling workflows and ground truth.
  • Strong collaboration skills with product managers, researchers, and policy partners.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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