Senior Video Analytics Engineer — Remote, Equity

QUORE IT : Talent Sourcing & Recruitment

United States

Remote

USD 185,000 - 226,000

Full time

2 days ago
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Job summary

QUORE IT : Talent Sourcing & Recruitment is seeking a Senior Software Engineer | Video Analytics with 4+ years of backend experience. You will own end-to-end video analytics systems, delivering enterprise-grade capabilities across thousands of stores.

This is a hands-on IC role focused on practical AI/vision engineering rather than research. You will work primarily in Elixir, deploying models on edge devices and in the cloud, with opportunities to scale across multiple enterprise deals and

Qualifications

  • Experience deploying ML or computer vision (CV) systems on edge devices or in the cloud.
  • 4+ years as a senior/staff backend SWE at a Series A–D startup with deep Elixir knowledge.
  • Proficiency in Elixir or a strong foundation in a functional programming language.
  • Experience taking CV or ML systems from concept to production deployment and scale.

Responsibilities

  • Ship people analytics (re-identification, cross-camera tracking, employee tagging, group detection) and drive-thru vehicle analytics for clients.
  • Build systems to measure model performance across new stores and refine models as needed.
  • Own vision tooling and testing infrastructure; evaluate new model variants on edge and in cloud.
  • Work across the full Elixir stack from video ingestion to results collection and alerting workflows.
  • Set install requirements for fulfillment partners to enable 3,000+ site rollouts.

Skills

Elixir
Functional programming

Job description

QUORE IT : Talent Sourcing & Recruitment is seeking a Senior Software Engineer | Video Analytics with 4+ years of backend experience. You will own end-to-end video analytics systems, delivering enterprise-grade capabilities across thousands of stores.

This is a hands-on IC role focused on practical AI/vision engineering rather than research. You will work primarily in Elixir, deploying models on edge devices and in the cloud, with opportunities to scale across multiple enterprise deals and

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