Senior CV ML Engineer

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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">We’re hiring for a Raw Ventures portfolio company — a computer vision platform that processes millions of images from real-world deployments and turns them into actionable insights for industry partners. Series A.</span></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">The role</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">You own the CV detection stack end-to-end — models, data, labeling and validation processes, evaluation methodology, production serving. You close the loop with the validators team and stay close to customers and product to keep model work tied to real-world value. Senior autonomy: you set direction and ship.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Stack</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">PyTorch • YOLO 11 • Roboflow • Triton • CUDA • AWS • EKS • S3 • Docker • Claude Code</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">What you’ll do</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Own the full model lifecycle — data, labeling, training, evaluation, deployment, monitoring, feedback</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Improve detection/segmentation models across diverse real-world conditions, lighting, environments</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Build labeling, testing, and validation processes with the validators team — taxonomies, guidelines, QA loops, active learning</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Define evaluation methodologies; identify weak spots and fix them</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Stay close to customers and product — what they pay for shapes model priorities</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Productionize models on Triton — latency, throughput, cost</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Drive research direction: pretraining, architectures, multi-stage pipelines</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">What we expect</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">5+ years CV/ML with senior depth</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Deep understanding of the full CV model lifecycle</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Track record of high-quality production CV models — robust across real conditions, edge cases handled</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Methodological eye — you spot when evaluation, labeling, or training is broken and fix it</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Product and business sense — you understand how models make money, don’t chase accuracy that doesn’t move the business</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Hands-on YOLO (YOLO 11 ideal, any recent version counts)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience designing labeling/annotation processes with annotation teams</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Roboflow workflows or comparable (dataset versioning, labeling, augmentation)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Triton deployment and optimization (or comparable serving infra)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">MLOps fundamentals — experiment tracking, model versioning, evaluation, production monitoring</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong PyTorch, production-grade Python (not just notebooks)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Russian — fluent or native (required)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">English B1+</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Central European working hours</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Nice to have</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Active learning, semi-supervised methods • Self-supervised pretraining for domain adaptation • Model quantization / pruning / ONNX / TensorRT • Scientific imaging or biology • Multi-camera / multi-view systems • Edge inference on devices</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">What we offer</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Fully remote, CET hours</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Real product impact at scale</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Direct contact with leadership and engineering team</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">AI-augmented development culture</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Competitive compensation, discussed individually</span></li>\n</ul>",
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