AI Research Engineer Computer Vision & Analytics

We are seeking a talented and driven AI Engineer to join our innovative team. This role is central to our computer vision and analytics product development, focusing on the end-to-end lifecycle. The successful candidate will be responsible for training, fine-tuning, and rigorously optimizing custom models, like YOLO, to achieve superior accuracy and real-time performance on resource-constrained NVIDIA Jetson edge devices and cloud deployment.

Key Responsibilities

• Model Training and Development: Lead the complete training pipeline for computer vision based analytical models, including data preparation, augmentation, and implementing custom training and fine-tuning routines to meet specific project goals.
• Custom Model Adaptation: Develop and customize model architectures to accurately identify unique and specific needs required by our applications.
• Accuracy and Performance Enhancement: Continuously iterate on and experiment with models to systematically improve key metrics such as precision, recall, and mAP (mean Average Precision).
• Performance & Cost Optimization: Continuously analyze and optimize cloud resource consumption (e.g., CPU, GPU, memory, and storage) to ensure cost-effective, high-throughput operations and meet budget targets.
• Accelerator Implementation: Identify, benchmark, and leverage the most appropriate cloud hardware and software accelerators (e.g., specific GPU/TPU instances, inference compilers like NVIDIA TensorRT, AWS Inferentia) to enhance processing speed and reduce latency.
• Deployment and Integration: Work closely with software and hardware engineering teams to ensure the seamless integration and deployment of optimized models into our final products.
• Performance Benchmarking: Establish and execute robust testing protocols to measure and report on key performance indicators (KPIs), including inference latency, throughput, accuracy, and cost-per-inference/cost-per-query.
• Algorithm Development: Develop analytical algorithms for a variety of use cases, with an emphasis on deep mathematical and theoretical principles.

What We Offer

• Exceptional Peer Environment: The opportunity to work directly with and learn from experts in the field of AI.
• Impactful Work: Contribute to fundamental research and have a lasting impact on the industry.
• State-of-the-Art Resources: Access to datasets and extensive computational resources to bring your most ambitious ideas to life.
• Culture of Growth: A dynamic and intellectually stimulating environment that encourages continuous learning and professional development.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.