Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers’ compensation, general liability, and property damage, which cost employers over $500 billion annually.

We are seeking a highly capable and driven TLM to join our team at Voxel. You will play a pivotal role in driving innovation, ensuring efficient operations, and advancing workplace safety through cutting-edge computer vision technologies.

What You'll Do

• Technical Leadership: Lead a team of software engineers working on computer vision projects, specifically focused on improving workplace safety through perception systems.
• Algorithm Development: Drive the development of computer vision algorithms and machine learning models to enhance Voxel's perception system.
• Talent Management: Attract, grow, and retain a diverse pool of talent, providing technical direction and creating opportunities for career growth within the team.
• Technical Guidance: Provide expertise and guidance on all technical aspects of development, including requirements, design, and implementation.
• ML Ops Implementation: Integrate ML Ops practices to streamline model development, deployment, and monitoring processes.
• Cross-functional Collaboration: Work closely with engineering partners and stakeholders to ensure seamless organizational alignment and integration of computer vision solutions.
• Best Practices Implementation: Implement and enforce engineering best practices, ensuring the team follows a structured and efficient approach to their projects.
• Product Development Oversight: Oversee the successful development and delivery of computer vision models and products that align with Voxel's vision and goals.
• Performance Excellence: Foster a culture of excellence, collaboration, and continuous learning within the team.

Technical Skills Requirement

• Computer Vision: In-depth knowledge and practical experience in computer vision techniques, including object detection, tracking, segmentation, and image recognition.
• Machine Learning: Strong understanding of machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or similar.
• Deep Learning: Proficiency in applying deep learning techniques, including CNNs, RNNs, and GANs, to real-world computer vision problems.
• ML Ops: Experience implementing ML Ops practices to streamline model development, deployment, and monitoring.
• Software Engineering: Hands-on experience with software development and proficiency in programming languages like Python or Java.
• Cloud Technologies: Familiarity with cloud platforms (e.g., AWS, GCP) and experience deploying computer vision models in cloud environments.
• Data Management: Expertise in data preprocessing, annotation, and management for computer vision projects.
• Performance Optimization: Ability to optimize and improve the performance of computer vision models for real-time applications.
• Agile Methodology: Experience working in an agile development environment and using agile principles to deliver projects effectively.

Qualifications

• Technical Expertise: A proven track record of at least 7 years in computer vision and machine learning, with hands-on experience in algorithm development and software engineering.
• Leadership Experience: Previous experience in a senior management or leadership role, overseeing and mentoring technical teams in a fast-paced environment.
• Start-up Mindset: Demonstrated success in scaling and managing engineering organizations, preferably in a start-up or similar dynamic setting.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Workplace Safety: Experience or strong interest in applying computer vision technologies to improve workplace safety.
• Inclusivity and Diversity: A commitment to building an inclusive and diverse work environment that fosters innovation and creativity.
• Agile Development: Experience working in an agile environment, delivering complex projects on time and within budget.
• Technical Vision: Ability to provide technical leadership and direction while staying updated with the latest advancements in computer vision and ML technologies.