Senior Machine Learning Engineer

Senior Machine Learning Engineer

Requirements

• PhD in Computer Science, Machine Learning, or related field with 5+ years’ experience in computer vision/deep learning
• MS in Computer Science, Machine Learning, or related field with 10+ years’ experience in computer vision/deep learning
• Proven experience delivering scalable production models
• Strong command of emerging tools and architectures in machine learning
• Understanding of 3D camera technologies
• Expertise in sensor fusion algorithms
• Experience with TensorFlow, PyTorch, and other ML frameworks
• Strong programming skills in Python and C++
• Knowledge of hardware acceleration technologies (GPU, NPU and TPU)

Responsibilities

• Lead the development of computer vision and modern machine learning initiatives, including computer vision architectures and advanced neural networks
• Architect novel algorithms and solutions by combining and fusing multiple sensor inputs
• Recommend and implement best practices in model training, validation, and deployment
• Execute the company’s strategic R&D initiatives focused on innovation in sensors, machine learning, and artificial intelligence
• Engage in customer demonstrations and proof-of-concept exercises to quickly gather feedback and incorporate it into an iterative design and development process
• Identify and propose new opportunities for AI products and solutions
• Stay current with the latest ML developments and drive continuous improvement in sensing capabilities
• Mentor team members on the Algorithms & Sensors team
• Enable rapid development through prioritization, planning, and automation
• Drive innovation culture while maintaining a practical focus
• Inform AI and sensor initiatives at the executive level
• Work closely with cross-functional teams, including product, hardware, software engineering, and DevOps/SQA to integrate ML solutions into the security platform

Preferred Qualifications

No preferred qualifications provided.