Senior AI Software Engineer

Who we are...

Verra Mobility is a global leader in smart mobility. We develop technology-enabled solutions that help the world move safely and easily. We are fostering the development of safe cities, working with police departments and municipalities to install over 4,000 red-light, speed, and school bus stop arm safety cameras across North America. We are also creating smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for over 8.5 million vehicles. And we are a leading provider of connected systems, processing nearly 165 million transactions each year across 50+ individual tolling authorities. 

Culture 

Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence.

Position Overview:  The AI/ML Senior Software Engineer at Verra Mobility is a critical role responsible for driving innovation and leading AI initiatives in the realm of computer vision and video datasets for edge compute platforms. This role demands a deep understanding of machine learning, computer vision, and edge computing technologies. In addition to hands-on development, the Senior Software Engineer will play a key role in mentoring junior engineers, shaping the technical direction of projects, and leading collaborations with third-party partners to accomplish strategic goals. This position offers an exciting opportunity to contribute to groundbreaking advancements in AI and computer vision while taking a leadership role within our organization.

Essential Responsibilities:

• AI/ML Development: Design, develop, and implement machine learning models and computer vision algorithms tailored for edge compute platforms.
• Data Processing: Manage and preprocess large-scale camera and video datasets to ensure high-quality training data for AI models.
• Model Optimization: Optimize AI/ML models to meet the performance and resource constraints of edge devices, ensuring real-time processing capabilities.
• Research and Innovation: Stay up to date with the latest advancements in AI/ML and computer vision technologies. Apply cutting-edge research to enhance our solutions.
• Team Leadership: Lead a team of AI/ML engineers, providing technical guidance, mentorship, and fostering a culture of innovation. You will also mentor junior engineers to help them grow in their roles.
• Collaboration: Collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to integrate AI solutions into our products.
• Third-Party Collaboration: Lead and manage collaborations with third-party partners and vendors to achieve strategic goals and enhance our AI capabilities.
• Testing and Validation: Develop testing procedures to validate the accuracy and robustness of AI models, ensuring reliable performance in real-world scenarios.
• Documentation: Create comprehensive documentation for AI models, algorithms, and processes to facilitate knowledge sharing within the organization.

Qualifications:

• Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Computer Vision, or related field.
• Proven experience (typically 5+ years) in developing AI/ML solutions, with a strong focus on computer vision.
• Proficiency in machine learning frameworks such as TensorFlow, Py Torch, or similar.
• Strong programming skills in languages like Python and C/C++.
• Experience with edge computing platforms and optimizing AI models for resource-constrained devices.
• Knowledge of data preprocessing, data augmentation, and data labeling techniques.
• Excellent problem-solving skills and a passion for staying updated on emerging technologies.
• Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams.
•  Ability to mentor junior engineers and lead third-party collaborations to achieve strategic objectives.