Staff Machine Learning / Perception Engineer, AiDash

• Minimum of 7 years of experience in data science with proven track record of delivering high value projects
• Strong understanding of modern Computer Vision techniques, including feature extraction, object detection, segmentation, and multi-view geometry
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Experience working with large-scale visual datasets and pre-processing pipelines
• Familiarity with GPU acceleration (CUDA, TensorRT) and optimizing models for real-time inference
• Knowledge of MLOps tools (MLflow, Weights & Biases) for managing training and deployment
• Strong problem-solving and analytical skills with the ability to work in a collaborative environment
• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field

Desirable

• As a Staff Machine Learning/Perception Engineer at AiDASH, you will play a critical role in designing, training, and optimizing AI model architectures that leverage multiple modalities, including visual images, LiDAR, and other data sources
• Your work will focus on applying cutting-edge techniques in computer vision, machine learning, and artificial intelligence to solve complex real-world problems, while ensuring these models are scalable and deployable in production environments
• Design, train, and optimize AI model architectures optimal for the application under consideration, using visual images, lidar and other different modalities
• Deep understanding and experience with Convolutional Neural Networks, Vision Transformers, Self-Supervised and Contrastive Learning, Foundation Models, Generative Models, Diffusion Models, and Graph Neural Networks (GNNs)
• Collaborate with software engineers to deploy models into production pipelines and APIs
• Conduct research and stay updated on state-of-the-art advancements in Computer Vision and AI
• Use MLOps best practices to track experiments, version datasets, and optimize training pipelines