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Machine Learning & AI · AI Engineering
Engai
2 hours ago
Full-time
On-site
New York City, New York, United States
Machine Learning Engineer — Multimodal & Vision
Deploy assisted pre-labeling vision models and zero-shot architectures that dramatically accelerate throughput for autonomous driving and robotics datasets. Responsibilities
Fine-tune and deploy assisted pre-labeling vision models (SAM, YOLO, Mask R-CNN, 3D point cloud detectors) Optimize model inference latency on GPU clusters using NVIDIA TensorRT, ONNX, and Triton Evaluate model prediction confidence against human consensus to tighten the active learning loop Integrate model-assisted annotation APIs directly into customer MLOps infrastructure Requirements
3+ years building and deploying deep learning models in production (PyTorch, Docker, CUDA) Proven expertise in Computer Vision, 3D LiDAR/sensor fusion, or multimodal vision-language architectures Strong software engineering fundamentals in Python and cloud systems (AWS/GCP) Experience optimizing deep learning inference for real-time interactive applications Dedicated cloud GPU compute budget for experimental research Full healthcare coverage including mental wellness stipends Flexible working hours across any global timezone Generous hardware allowance (M3 Max MacBook Pro or high-end Linux workstation) YOUR NEXT OPPORTUNITY
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Deploy assisted pre-labeling vision models and zero-shot architectures that dramatically accelerate throughput for autonomous driving and robotics datasets. Responsibilities
Fine-tune and deploy assisted pre-labeling vision models (SAM, YOLO, Mask R-CNN, 3D point cloud detectors) Optimize model inference latency on GPU clusters using NVIDIA TensorRT, ONNX, and Triton Evaluate model prediction confidence against human consensus to tighten the active learning loop Integrate model-assisted annotation APIs directly into customer MLOps infrastructure Requirements
3+ years building and deploying deep learning models in production (PyTorch, Docker, CUDA) Proven expertise in Computer Vision, 3D LiDAR/sensor fusion, or multimodal vision-language architectures Strong software engineering fundamentals in Python and cloud systems (AWS/GCP) Experience optimizing deep learning inference for real-time interactive applications Dedicated cloud GPU compute budget for experimental research Full healthcare coverage including mental wellness stipends Flexible working hours across any global timezone Generous hardware allowance (M3 Max MacBook Pro or high-end Linux workstation) YOUR NEXT OPPORTUNITY
#J-18808-Ljbffr