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9 дней назад

Senior Computer Vision Engineer (AI)

200 000 - 240 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Computer Vision Engineer (AI): Building production perception pipelines that turn raw video into reliable workplace-safety incidents with an accent on stream processing, model serving, and inference optimization. Focus on designing tracking and probabilistic reasoning systems, improving observability and latency, and moving research-grade computer vision techniques into scalable production.

Location: San Francisco, CA, United States; hybrid work format.

Salary: $200,000–$240,000 per year, plus equity.

Company

Develops AI-driven computer vision technology that improves workplace safety and operational efficiency for enterprise customers.

What you will do

  • Turn research ideas, including transformers and new detection and classification methods, into production computer vision features.
  • Design and build perception pipeline components on a stream-processing architecture using Flink/PyFlink.
  • Train, evaluate, and optimize production computer vision models with Triton, TensorRT, and multi-backend serving.
  • Develop tracking, filtering, probabilistic reasoning, and state-machine logic that converts model outputs into trustworthy incidents.
  • Build observability through metrics, dashboards, and evaluation loops while reducing latency and infrastructure cost.
  • Partner with platform, GTM, customer success, and data operations teams on deployments, labeling quality, and ML tooling adoption.

Requirements

  • 5+ years of experience building and shipping production ML or computer vision systems.
  • Strong Python skills; working knowledge of C++ or Go is beneficial.
  • Experience with model serving and inference optimization, such as Triton or TensorRT.
  • Experience with streaming or distributed data processing, such as Flink or Kafka.
  • Experience building datasets, defining evaluation metrics, and detecting model regressions.
  • Familiarity with Kubernetes, Docker, Terraform, ArgoCD, and AWS.

Nice to have

  • Experience with the full computer vision data lifecycle, including collection, sampling, labeling, and curation.
  • Experience with auto-labeling or embedding-based data search.
  • Exposure to customer deployments or field-facing ML systems.

Culture & Benefits

  • Technical leadership through design, execution, mentorship, and cross-functional alignment without direct people management.
  • Health, dental, and vision insurance.
  • Paid parental leave and paid time off.
  • Equity Incentive Plan.
  • 401(k), HSA options, and pre-tax commuter benefits.
  • Daily in-office meals, company events, and team-building activities.

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