Senior Machine Learning Engineer (Computer Vision)

The Elevator Pitch

Join Evolv as Senior 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 programming skills in Python and C++.
• Knowledge of hardware acceleration technologies (GPU, NPU and TPU)

What is the leadership like for this role? What is the structure and culture of the team?

You will join our R&D organization, reporting directly to the Senior Director