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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:
Sheila Shamloo
#MachineLearning
#AI
#DeepLearning
#ComputerVision
#Python
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
- 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
- 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
Sheila Shamloo
#MachineLearning
#AI
#DeepLearning
#ComputerVision
#Python