Evolv is looking to solve the problem of physical security technology by developing and deploying state-of-the-art computer vision and deep learning solutions.
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
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.
- Design, implement, and deploy state-of-the-art CV solutions and algorithms at the edge on resource constrained hardware
- Utilize various data sources to create multi-sensor solutions.
- Develop state-of-the-art computer vision and deep learning solutions.
- Execute the company's sensor-driven AI strategy, aligning it with business objectives to drive growth and innovation.
Other
- Minimum of 60% on-site work at headquarters in Waltham, Massachusetts
- 5+ years of experience in computer vision/deep learning
- PhD or MS in Computer Science, Machine Learning, or related field
- Ability to work closely with cross-functional teams
- Strong communication skills to provide insights that shape strategic decisions
