AI/ML Scientist / Engineer

We are hiring an AI/ML Scientist / Engineer to work on advanced machine learning systems focused on real‑time, low‑latency AI applications. This role involves research, development, and deployment of AI methods, as well as integration of modern learning frameworks for complex decision‑making and video‑based analysis tasks. Responsibilities Use state‑of‑the‑art AI technologies to research, develop, and deploy real‑time, low‑latency AI solutions Develop and integrate AI agent and/or deep reinforcement learning (DRL) frameworks for decision‑making, workflow automation, or adaptive optimization in video‑based applications Stay current with the latest developments in AI research and emerging technologies Understand application needs and translate them into design, development, and validation of AI solutions Follow company product development standards and procedures Communicate effectively with project managers and team members on execution Perform other duties as assigned by management Required Qualifications Experience in AI, ML, DL, or related fields, or a PhD/master’s degree with equivalent experience Experience with advanced vision‑language or foundation models (e.g., GPT‑4o, SAM, and similar models) for image/video analysis Experience with AI agents and/or deep reinforcement learning, including prompt engineering and frameworks such as LangChain, LlamaIndex, or RAG Strong understanding of computer vision fundamentals including camera calibration, SLAM, registration, multi‑view geometry, tracking, and mapping Strong deep learning knowledge including classification, tracking, mapping, transformers, and CNNs Strong programming skills in C++ and/or Python Experience with PyTorch, TensorFlow, or Keras Strong problem‑solving skills with ability to rapidly implement, verify, and iterate solutions Preferred Qualifications Strong algorithm development experience in medical image analysis, segmentation, and image registration Experience with NVIDIA tooling and/or TensorRT deployment Experience with 3D visualization programming in Linux Knowledge of human anatomy and medical image interpretation Experience with DICOM Experience working with imaging modalities such as endoscopic video, ultrasound, CT, or similar sensor data #J-18808-Ljbffr