9 дней назад
Senior Computer Vision Engineer (AI)
200 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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