Top Tech Jobs & Startup Jobs

Build and productionize computer vision and machine learning systems that convert video into reliable workplace safety incidents. Responsibilities include designing Flink-based perception pipelines, training and optimizing models with Triton and TensorRT, implementing tracking and probabilistic reasoning, improving latency and cost, building observability and evaluation systems, integrating ML tooling, and partnering with platform, customer success, GTM, and data operations teams on deployments and data quality.

Own escalated Tier 2 customer support issues involving platform, network, hardware, connectivity, cameras, and software. Troubleshoot Linux and IoT systems, reproduce and document bugs, collaborate with Customer Success, Engineering, and Product, maintain support documentation, identify systemic reliability improvements, and participate in on-call rotations.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.

The Staff Software Engineer will lead ML infrastructure, architect systems for model training and deployment, and mentor engineers on best practices.

The Enterprise Account Executive drives sales growth by acquiring Fortune 500 clients, managing relationships, and navigating complex sales processes for B2B technology solutions.

Lead North American demand generation end-to-end: strategy and hands-on execution of digital, inbound, ABX/ABM, partner, and event programs. Manage paid channels, HubSpot workflows, pipeline reporting with RevOps, align with Sales/BDR, and hire/lead a small team while owning budget and performance targets.

Voxel seeks talented individuals to connect AI with safety and operations. You may work on data analysis, customer success, and system building.

Design, implement, and productionize computer vision algorithms (detection, tracking, pose, activity, anomaly) for low-latency edge deployment. Build scalable ML data ingestion, retraining and redeployment pipelines, and partner cross-functionally to tailor ML solutions for customer deployments.

Serve as the highest technical escalation for complex, high-severity incidents across edge hardware, networking, AI inference, and cloud infrastructure. Diagnose root causes at code, configuration, and infra levels, drive permanent fixes with Engineering, lead technical bridges with enterprise stakeholders, define troubleshooting frameworks and documentation, conduct post-incident reviews, and participate in on-call rotations.