Principle Machine Learning Engineer

The Elevator Pitch 

Join Evolv as Principal Machine Learning Engineer to spearhead AI innovation in physical security technology. As a key member of the ML/AI team you will be instrumental in developing and deploying state-of-the-art computer vision and deep learning solutions.  Your role will involve leveraging diverse data sources, including 3D cameras, magnetic sensors, and X-ray images, to create multi-sensor solutions that operate in real-time on constrained hardware platforms.  This hands-on position requires ownership of the entire data processing chain, demanding technical expertise, cross-functional collaboration, and a drive for innovation.  Your contributions will push the boundaries of AI-powered physical security screening solutions, ensuring Evolv remains at the forefront of technological advancements in the industry. 

Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? 

In the first 30 days, you will: 

• Explore Evolv’s sensors, algorithms, and development processes 

• Work to understand real-time processing, hardware limitations, and environmental constraints for the Evolv product portfolio. 

• Engage in continuous learning and actively participate in peer code reviews to enhance the quality and robustness of our solutions. 

• Review existing model performance metrics and areas for improvement. 

Within the First Three Months: 

• Utilize various data sources to create multi-sensor solutions. 

• Work with the product team to gather requirements and translate these to derived requirements that guide and inform ML development efforts  

• Develop state-of-the-art computer vision and deep learning solutions. 

• Engage in cross-functional communication with various engineering teams to disseminate ML ideas, to inform roadmap and research priorities  

By the End of the First Year: 

• Design, implement, and deploy state-of-the-art CV solutions and algorithms at the edge on resource constrained hardware 

• Effectively communicate with senior leadership to provide insights that shape strategic decisions. 

• Execute the company's sensor-driven AI strategy, aligning it with business objectives to drive growth and innovation. 

The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? 

Technical Leadership: 

• 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. 
  

Innovation 

• 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.  
  

Team Leadership: 

• 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. 
  

Technical Expertise Required: Machine Learning & Computer Vision 

• 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 programmi